Reviews (5)

There is a 3rd edition solution manual!!
I was looking through an old file cabinet in my office and found the solution manual for the 3rd edition of Mood, Graybill, and Boes. It was apparently put together by Boes and published by McGraw-Hill. It is fifty pages long and answers a lot (but not all) of the questions. Perhaps those who have expressed an interest in the manual should contact McGraw-Hill. Take care.

A beautiful text
A beautiful text of mainstream statistics, starting from scratch and taking you clearly to a good standard. If it provided answers to exercises, it would be perfect for self-study. Nevertheless, still amazingly clear without sacrificing the rigour and precision of the maths.
This must be the first book for anyone who wants to take on probability and statistics seriously.

...

Student Solution Manual
The book is very good but if there is a student solution manual to go with it that would be very helpful. The book has very many useful problems but with no solutions i'm never sure if what i did was right or wrong.

I want to take solution
I am studying the book. However it is little bit difficult to solve the example without solution, so I wonder if the solution exist or not. If do, I would like to take the solution. let me know whether it's possible or not.

A request for problem solution manual
I am going to introduce this book as one of two text books for probability course. So I need a problem solution manual. I am wondering if your company distribute the manual. would you let me know how can I get one. I send this message through review because I don't know how to apply for that. Your co-operation in this regard is appreciated. ... Read more

Book Description

Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.
· Comprehensive coverage of this growing area of research
· Carefully introduces each algorithm with examples and in-depth discussion
· Includes many applications to real-world problems, including engineering design and scheduling
· Includes discussion of advanced topics and future research
· Can be used as a course text or for self-study
· Accessible to those with limited knowledge of classical multi-objective optimization and evolutionary algorithms
The integrated presentation of theory, algorithms and examples will benefit those working and researching in the areas of optimization, optimal design and evolutionary computing. This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study. ... Read more

Reviews (2)

Great book; a must for engineers and scientists alike
Kalyanmoy Deb has put together a great summary of the state of affairs in multiobjective genetic algorithms. Should you be an engineer or a scientist involved in the optimization of any design of sizeable complexity, you should read this book and become familiar with the techniques that have evolved over the last decade into powerful methods of optimization. This book is in many many ways bridging the gap from Michalewicz's and Fogel's book ("How to solve it") to the more modern era of this field (eg late nineties up to now...). So whereas those two authors never really considered multiobjective genetic algorithms, Deb plows through with the great expertize of a (perhaps even "the") leading researcher in that domain. This is a great book of _receipes_ with the level of details necessary to make use of them. It's a "how to" book; this is the one you have cracked open on your desk while you're hard coding it all up. However, it's not very well written with the prose being very terse and basically quite unengaging. But so what! In some sense yes perhaps, but Michalewicz and Fogel made a point that one can write technical litterature that one can also read. Perhaps they went overboard... in any case, Deb's book is about algorithms so who cares about whether the book puts you to sleep and it can do that, unfortunately. Apart from the unengaging style and the paucity of depth in the examples scope, the real problem with the book is not with the book itself, it's with the field of multiobjective optimization based on evolutionary methods. It's fairly evident that there is not much of any sort of fundamental understanding available at this time in support of why evolutionary techniques do work well, and they do, sometimes... If this understanding is available, you won't find it in Deb's book. If you are like me though, you won't care all that much really so long as the techniques are efficient and presented in a way that make them useable, and that's done right... But on the whole, it's a little unsatisfying because one's left with a panoply of various techniques and ways to define operators and representations but there is no insight given on which one might be best or how to craft them to particular situations. There is a lot of so-'n-so in reference this and that did it like this and it seems to work well there, however... The reason for this state of affairs is, of course, that nobody has a real clue, yet... But that is _not_ Deb's fault and this is not why, as a user, I'm not rating his book a full 5 stars. In some sense it could be rated as high as that but I thought the presentation was rather unengaging and not with all the breath and depth it could have had. So it's a 4.5 stars perhaps... let's say... but Amazon does not let me select 4.5 stars so it's 4, this edition at least...

The Reference in Evolutionary Multiobjective Optimization
This is the first complete and updated text on Multi-objective Evolutionary Algorithms (MOEAs), covering all major areas clearly, thoughtfully and thoroughly. Thanks to the development of evolutionary computation MOEAs are now a well established technique for multi-objective optimization that finds multiple effective solutions in a single run. The widely interdisciplinary interest of engineers, scientists and mathematicians towards MOEAs has been evident during the first international conference on this topic (EMO2001,Zurich). The book is extremely useful for researchers working on multi-objective optimization in all branches of engineering and sciences, that will find a complete description of all available methodologies, starting from a detailed description and criticism of classical methods, towards a deep treating of the most advanced evolutionary techniques. Moreover several analytical test cases are given, covering all difficulties a MOEA encounters when converging towards the Pareto Optimal front. This set of test problems, together with several performance measurement parameters are essential when testing a new strategy before its application to a real-world problem. Despite the detail in advanced topics, Deb's book may be also used as a reference-book for a post-graduate course thanks to the scholarly coverage of basic arguments. As a final remark I strongly suggest everyone working on evolutionary computation and optimization to keep this book on the desk. ... Read more

Book Description

he subject of integrated navigation systems covered in this book is designed for those directly involved with the design, integration, and test and evaluation of navigation systems. It is assumed that the reader has a background in mathematics, including calculus. Integrated navigation systems is the combination of an onboard navigation solution (position, velocity, and attitude) and independent navigation data (aids to navigation) to update or correct navigation solutions. In this book, this combination is accomplished with Kalman filter algorithms.

This presentation is segmented into two parts. In the first part, elements of basic mathematics, kinematics, equations describing navigation systems/sensors and their error models, aids to navigation, and Kalman filtering are developed. Detailed derivations are presented and examples are given to aid in the understanding of these elements of integrated navigation systems. Problems are included to expand the application of the materials presented.

The second edition includes software, additional background material and exercises, and additional applications. Selected Chapter, Section, and Exercise related software is provided in a companion CD-ROM to enhance the learning experience of the reader. The included software has been developed using MATLAB/Simulink(TM) version 6.5 by The MathWorks, Inc. Additional material includes: integrating navigation aides for a navigation system’s vertical axis; exercises that broaden the scope of problems encountered in integrated navigation systems; and the general problem of attitude determination and estimation whether for terrestrial or space applications. This edition provides a more complete foundation for addressing the different aspects of integrated navigation systems. ... Read more

Reviews (1)

A good book
The book is very precise and gives a lot of mathematical related things that's relevant to Navigation and Guidance. I somehow liked it's approach, mainly because it avoids a lot of descriptory jargons and talks straight in mathematics: the language of scientists and engineers! Before reading the book, a good hold of the mathematics related to system theory would be a definite plus. However, the book has an introductory chaper for the relevant mathematics too. ... Read more

Book Description

The Sullivan Enhanced with Graphing Utilities series fully integrates the graphing calculator. These widely adopted books are known for their precise careful presentation of mathematics. This precision permeates the book and is particularly evident in the examples, pedagogy and exercises.This book includes coverage of linear, quadratic, polynomial, rational, exponential and logarithmic functions. In addition, this book discusses the zeros of a polynomial function, systems of equations and inequalities, probability, and conics.For anyone who needs to brush up on everyday or business-related mathematics. ... Read more

Reviews (1)

This was a competent book with one small problem.
College Algebra is quite authorative on the subject matter covered and helps the student grasp the key points as well as some of the finer points of Algebra. While I was in this course I had the most difficult time trying to find certain supplements the book suggested that were put out by the publisher. They had no knowledge of the material at the company but it was clearly stated in the text. All in all the overall text and message of the book was rather competent and illuminating. ... Read more

Book Description

Bean's PROBABILITY: THE SCIENCE OF UNCERTAINTY WITH APPLICATIONS TO INVESTMENTS, INSURANCE, AND ENGINEERING is an 'applied' book that will be of interest to instructors teaching probability in mathematics departments of operations research, statistics, actuarial science, management science, and decision science.Comprehensive, easy to read and comprehend, and current, the book uses investment, insurance, and engineering applications throughout as a unifying theme. ... Read more

Reviews (2)

Not a good learning book
Some gaffes in this book, I don't think the author has any real understanding. He even messes up the definition of expectation, and it doesn't get more elementary than that. There are many better probability books out there, don't choose this one.

Excellent
This book is on the course of reading for the Society of Actuaries and Casualty Actuarial Society jointly sponsored Course 1/Exam 1. Although all the probability books listed on the course of reading are good, this text is probably the one to choose. The book seems to be designed with an actuarial student in mind, and an actuarial student would find it very useful for self study. A solution manual is also available.

The quality and level of the writing are excellent. It covers all the required probability topics, and emphasizes certain topics that are not usually emphasized in other texts. Some of these topics are conditional probability; distributional form of Law of Total Probability and Bayes Theorem; conditional expectation; limited moments; mixed probability distributions; survival distributions; hazard or mortality functions; special continuous distributions used in survival analysis (Weibull, Pareto, etc.); compound Poisson and other compound distributions. All but the last chapter on option pricing would be required reading for Exam 1, and the last chapter useful for Exam 2.

A very useful feature of this textbook is that in Chapters 5 (Special Discrete Distributions) and 6 (Special Continuous Distributions) the distribution theory is very clearly outlined. For example, relationship to other distributions, distribution of iid sums, limiting distributions, etc. are clearly stated and summarized. In addition to Exam 1, this text will also be valuable as a reference to study for Exam 4.

Students who would have difficulty with the level of this presentation will also have difficulty with SOA Exam 1. ... Read more

Book Description

Building on the foundations of its predecessor volume, Matrix Analysis, this book treats in detail several topics with important applications and of special mathematical interest in matrix theory not included in the previous text.These topics include the field of values, stable matrices and inertia, singular values, matrix equations and Kronecker products, Hadamard products, and matrices and functions. The authors assume a background in elementary linear algebra and knowledge of rudimentary analytical concepts.This should be welcomed by graduate students and researchers in a variety of mathematical fields and as an advanced text and modern reference book. ... Read more

Reviews (1)

A great reference source for advanced matrix analysis
Horn and Johnson's MATRIX ANALYSIS AND TOPICS IN MATRIX ANALYSIS are true classics (like Knuth's Art of Computer Programming). You will find classic theorems and lemmas in matrix theory and linear algebra here along with their proofs (some of these are not found elsewhere).

TOPICS IN MATRIX ANALYSIS contains a lot of stuff including LMI's, Kronecker and Hadamard products of matrices and their properties etc. I found this book indispensible when I was studying Semidefinite Programming.

Both these books are now available in paperback (cost around 30+) dollars each. I have recently purchased both copies and can only strongly recommend them to anyone else. ... Read more

Book Description

3D Math Primer for Graphics and Game Development covers fundamental 3D math concepts that are especially useful for computer game developers and programmers. The authors discuss the mathematical theory in detail and then provide the geometric interpretation necessary to make 3D math intuitive. Working C++ classes illustrate how to put the techniques into practice, and exercises at the end of each chapter help reinforce the concepts.

This book:

* Explains basic concepts such as vectors, coordinate spaces, matrices, transformations, Euler angles, homogenous coordinates, geometric primitives, intersection tests, and triangle meshes.

* Discusses orientation in 3D, including thorough coverage of quaternions and a comparison of the advantages and disadvantages of different representation techniques.

* Describes working C++ classes for mathematical and geometric entities and several different matrix classes, each tailored to specific geometric tasks.

* Includes complete derivations for all the primitive transformation matrices. ... Read more

Reviews (18)

Very good book to get started with
The authors state early on that this book is intended as the first book an aspiring game programmer should read, and I would agree that for the most part it lives up to that goal. Many 3D game programming books include math primers covering a chapter or two, but really, 3D math is a huge topic deserving an entire volume. This book provides a great service, then, in that it thoroughly covers most of the basic topics that graphics programmers need to know, in a tutorial style that should be accessible to all beginners. Hopefully, we'll start to see more game programming books that focus on their core material and defer coverage of 3D math to books like this one rather than trying to pack unavoidably incomplete coverage into a few dozen pages.

So, what exactly does it cover? It starts off with a couple of chapters on coordinate systems, and then spends three chapters on vectors, followed by another three chapters on matrices and transformations. It then covers orientation, comparing matrix, Euler angle, and quaternion representations (including one of most clear explanations of quaternions that I've encountered), before diving into several chapters covering geometric primitives, including detailed coverage of working with triangle meshes.

The book closes with a chapter applying 3D math to graphics in areas such as lighting, fog, coordinates spaces, LOD, culling and clipping, and so on, and another chapter on visibility determination, touching on things like quad- and octrees, BSP trees, PVS, and portal techniques. The explanations in these chapters are much less complete, taking more of an overview approach. Others have criticized the book for this, but I feel that an overview is appropriate, since it then sets the stage for these topics to be covered in detail in other game programming books.

I'd definitely recommend this book to anyone just getting started with game and graphics programming.

Best bet for getting a solid understanding of 3D math
Our goal in writing this book was not to cover as many topics as possible, like some other books, but rather to hit the most important concepts thoroughly. If you are a beginner, or have some "holes" in your understanding of matrices, Euler angles, left-handed vs. right-handed coordinate spaces, or key graphics concepts like zoom or the lighting equation, this book is for you.

A feature of this book over other books is the extent to which we have tried to develop the reader's geometric intuition, rather than just presenting numbers and equations. We show what the geometric interpretation of each mathematical operation is, why you would ever use that operation, and, in many cases, how the equation was derived in the first place. We do not gloss over "minor details" such as row vectors versus column vectors, or left- versus right-handed coordinate spaces. These "minor details" make all the difference in the world when you are trying to use an equation out of a book.

For the more advanced reader, we offer some of the clearest and complete discussions of some more advanced topics such as quaternions and barycentric coordinates. The book can be used as a reference for many important vector and matrix operations and identities. It also has a toolkit of many important equations for geometric primitives and intersection tests.

Our focus is on theory, so the book is not a big code dump like many books. The code we have provided consists primarily of "utility" classes for vectors, quaternions, and matrices. I think you will find that our code is simpler to read and understand than most code you will find elsewhere. We also offer some unique and thoughtful advice on good class design, specifically targetted to classes for doing 3D math and getting it right the first time, without twiddling minus signs or swapping numbers experimentally until it looks right

EXCELLENT BEGINNING BOOK
I RECENTLY RETIRED AND DECIDED TO PLAY AROUND WITH GRAPHICS AND GAME PROGRAMMING, AND THIS BOOK IS JUST PLAIN EXCELLENT!!!!!. I WISH MORE AUTHORS COULD WRITE TECH SUBJECTS THIS WELL.

THANK YOU FLETCHER DUNN AND IAN PARBERRY!!!

the best book on math now
this book assume your beginner in that filed .
authors covers alot of topics in math and its application in a clear style with pictures,examples and finally code !.
i recommend this book for beginners in game programming .

Ahmed Saleh , Computer Graphics Programmer .

Deceptively good book
I need to create a 3d math library for a project I was working on and wanted to take a look at some book on the subject. This one looked like one of the 14 year old 'how to make a video game' type books and I wasn't expecting much, however I was pleasantly suprised by the depth of the 3d mathematics in the book.
As an example i was unclear about how to calculate the inverse matrix correctly for an n-dimension matrix and the book goes over calculating adjucts and determinats, and inverses for a n-dimensional matrix both supplying the general math and some C code. The code i didn't find helpful, simply because I coding in the python c api and not straight c, however it could be helpful to someone writing in C.
I would recommend this book to anyone looking to brush up on quaternions, eulers, matrices, and vectors as this book is simple and to the point. I think the author did a great job balancing the complexty of the math with simplicity in the book's text. The book goes over what is really the essentials of any 3d math library. ... Read more

Book Description

This completely revised text provides a simple but rigorous introduction to probability. It discusses a wide range of random processes in some depth with many examples, and gives the beginner some flavor of more advanced work, by suitable choice of material. The book begins with basic material commonly covered in first-year undergraduate mathematics and statistics courses, and finishes with topics found in graduate courses. Important features of this edition include new and expanded sections in the early chapters, providing more illustrative examples and introducing more ideas early on; two new chapters providing more comprehensive treatment of the simpler properties of martingales and diffusion processes; and more exercises at the ends of almost all sections, with many new problems at the ends of chapters. The companion volume Probability and Random Processes: Problems and Solutions includes complete worked solutions to all exercises and problems of this edition. This proven text will be useful for mathematics and natural science undergraduates at all levels, and as a reference book for graduates and all those interested in the applications of probability theory. ... Read more

Reviews (8)

Beauty magazine makes you look ugly, if you get my drift.
Beauty magazine makes you look ugly, if you get my drift.

If a textbook has anything to deliver, it should explain, show and demonstrate to the reader the ideology, argument and conclusion of the topic at hand. I am unfortunate enough to own this book and it failed in all counts. In fact many of my college mate (at MSc level) get more confused AFTER reading this book. I would say pay less and get the Outline book series instead.

Recommended
This book provides a very broad coverage of probability and stochastic processes. The problem sets require a decent amount of effort for none of them are trivial. One of the better books for probability.

Too advanced for beginner
I think this book is good but very difficult to read. If you are beginners of probability, I suggest read other books like Sheldon Ross's "First Course in Probability" or "Introduction to Probability Models".

A Very Terse Treatment of Graduate Level Probability
I was a bit surprised that this book was so terse, given the postive comments given by others. I would recommend having at least the Schaum's outline handy when reading this book, especially if you want to really understand the more basic concepts well. The authors don't make any effort to expand/expound upon the basic concepts of probability so that the student understands how to apply the ideas in the exercises. However, it would seem that the authors enjoy spending more time writing about the less mainstream ideas and topics encountered in this book.

And the exercises....well forget it. Those exercises will take up your entire weekend as you struggle through them, and the answers given by the authors in their companion answer guide are not much help in enabling understanding of the material.

Actually this is a very good book for learning
I mostly agree with the positive reviews of the 3rd edition of Grimmett & Stirzaker's *Probability and Random Processes.* I wanted to address the criticism by the previous reviewer and add some detail regarding the 3rd edition (I suspect that the prior reviews might be based on the 1st 2 editions of the book).

(1) The prior reviewer might have a point in that this book may not have as many exercises and examples that are worked out to be helpful to the learner. However, this is because there is a companion book -- *One Thousand Exercises in Probability* (2nd ed.) -- that is designed to provide those examples and exercises. That book contains the answers/solutions to each and every exercise posed in that book. That book also closely follows the topics of this book. Together, those 2 books by Grimmett & Stirzaker should meet all of the requirements for self-studiers of probability theory. [Really, the 2 books should be seen as a set.]

(2) The 3rd edition of this book (along with exercises/answer book) cover a wide range of topics from probability starting from basics and going up to applications like queueing, Monte Carlo & Markov Chain Monte Carlo, Ito's Lemma & financial option valuation, etc. In short, this set of books should enable the sufficiently motivated to go from basic probability to a point where they can approach useful problems in applied probability (rather than toy problems offered by other books which, by the way, don't usually give the answers).

(3) Stirzaker (Oxford) has one of the best approaches to thinking about probability that I have ever come across. It is well worth it to expose oneself to his viewpoint. ... Read more

Book Description

This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion of the problem of specification of so-called ‘prior ignorance. The work is written from the authorss committed Bayesian perspective, but an overview of non-Bayesian theories is also provided, and each chapter contains a wide-ranging critical re-examination of controversial issues. The level of mathematics used is such that most material is accessible to readers with knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics. The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics ... Read more

Reviews (4)

The Standard First Text To Begin Studying Bayesian Methods
This is an extremely nice introduction to Bayesian statistical methods. It takes you from the very basics - even who Thomas Bayes was (who happens to be buried in Bunhill Fields cemetery in London with William Blake (Songs of Innocence and Experience, Jerusalem), Daniel Defoe (Robinson Crusoe), John Bunyan (Pilgrim's Progress)).

Its chapters are divided into sections forming an Introduction, Foundations, Generalizations, Modeling, Inference, and Remodeling. There is also a section summarizing the basic formulae and alternative non-Bayesian approaches. A rich reference list, subject index, and author index are also provided.

If you are familiar with the math of undergraduate statistics you should not have a problem with the math notation in this book. This really is the standard text you find on most shelves of folks who are familiar with this subject. There are many books to read beyond this one, but this is a fine place to start.

the new bible for Bayesian inference
Recently there have been a wealth of good books published on Bayesian methods and the Markov chain Monte Carlo approach to its implementation. For the beginner Berry's introductory book is a good place to start.

Bernardo and Smith are experts in the field who have participated in many of the Bayesian conferences held in Valencia and much of that lterature is contained in this book. They originally wrote the book in 1993 (with a publication date of January 1994). This paperback edition is not a revision but rather a reprinting with corrections. The original hardcover edition was very expensive and this paperback edition makes the text more affordable and should greatly expand the list of Bayesian specialists and other statisticians and practitioners that read it.

The authors intent was to extend the classical work of Bruno deFinetti who popularized the Bayesian approach with his two classic probability books. One of the authors was involved in translating deFinetti's books into English and they are both well familiar with it. In this book they offer an extension to the area of statistical inference.

The beauty of deFinetti is the logical and systematic nature of the presentation but he did not extend this to statistical practice. These authors maintain the systematic approach and review the probability axioms but then go on to cover statistical modelling including how models are approached through concepts of exchangeability, invariance, sufficency and partial exchangeability. The chapter on inference covers the Bayesian paradigm, the use of conjugate families, asymptotic methods, multiparameter problems and the thorny issues with nuisance parameters. It also includes a number of methods of numerical approximation including Markov chain Monte Carlo (MCMC) methods.

The authors deliberately left the coverage of computational methods brief as they planned a second volume to cover it in detail. But in the preface to the new paperback edition they admit that they have abandon this plan due to the evolution of MCMC methods as the dominant numerical approach and the wealth of new texts that adequately cover the topic.

I suggest that this text is the new bible for Bayesian statistics because I think it replaces the old bibles, Lindley's two volumes (some may argue for Savage's book). This is fitting as both authors attest to being students and disciples of Dennis Lindley. The reason I think it is worthy of bible status is because it covers the foundations in systematic detail, is current and very complete. The text contains references from 1763 (Bayes' original treatise) to 1993 covering an incredible 66 pages of the text. With 20 plus references per page that means over 1320 references!

This is an intermediate level text that requires advanced calculus but not measure theory. Emphasis is on concepts and not mathematical proofs. The authors also provide an overview of the non-Bayesian forms of statistical inference in Appendix B. The authors confront the controversial issues in each chapter. Bayesian statistical methods are treated in the framework of decision theory and ideas from information theory take on a central role.

A must for Bayesians and Non-Bayesians
This book provides a thorough introduction to Bayesian theory and decision analysis. It presents a coherent defense of the subjective view of probability that is driving many new technologies, including probabilistic graphical models, data mining, information retrieval and machine learning, as well as, classical problems such as control and econometrics. It is therefore a must for students and practitioners in these fields. The new, reasonably priced, paper-back version makes the book suitable for university courses on model selection, conjugate analysis or Bayesian statistics in general.

The foundations of Bayesian Statistics made easy
This excellent book presents the foundations of the Bayesian approach to uncertainty in systematic way. Statistical inference is treated as a decision problem which, the authors argue, should be solved on the basis of a subjective probability measure. The emphasis is on ideas rather than technical details and every chapter ends with a detailed discussion of specially important subjects. The list of references is so comprehensive that they alone provide a good reason to buy the book. An absolute must for any true Bayesian, and a perhaps even more necessary book for the yet unconvinced non-Bayesian. ... Read more

Book Description

Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more than an encyclopedia of "recipes."Statistics for Epidemiology achieves just the right balance between the two approaches, building an intuitive understanding of the methods most important to practitioners and the skills to use them effectively. It develops the techniques for analyzing simple risk factors and disease data, with step-by-step extensions that include the use of binary regression. It covers the logistic regression model in detail and contrasts it with the Cox model for time-to-incidence data. The author uses a few simple case studies to guide readers from elementary analyses to more complex regression modeling. Following these examples through several chapters makes it easy to compare the interpretations that emerge from varying approaches.Written by one of the top biostatisticians in the field, Statistics for Epidemiology stands apart in its focus on interpretation and in the depth of understanding it provides. It lays the groundwork that all public health professionals, epidemiologists, and biostatisticians need to successfully design, conduct, and analyze epidemiological studies. ... Read more

Reviews (1)

Outstanding
I had a chance to read this book cover to cover. All I can say is "absolutely outstanding", short of calling it a historical masterpiece in the field. Very rarely do I encounter an epidemiology or biostatistic textbook that reads so well. It is optimally reader friendly; the author appears to have such a talent in explaining some most sophisticated epidemiological and statistical concepts in such a simplified language. Yet he does not sacrifice the inclusion of some very advanced epidemiological and statistical concepts. New concepts such as causal graphs and instrumental variables are also included and explained beautifully. I strongly recommend this book to all early to intermediate graduate students majoring in Epidemiology. Established epidemiologists may wish to read this book to refresh and update their knowledge. I hope the author writes more textbooks with the same style. ... Read more

Book Description

STATISTICAL SLEUTH is an innovative treatment of general statistical methods, taking full advantage of the computer, both as a computational and an analytical tool. The material is independent of any specific software package. In "The American Statistician" (February 2000, Vol. 54, No. 1), George Cobb commented, "What is new and different about Ramsey and Schafer's book, what makes it a 'larger contribution,' is that it gives much more prominence to modeling and interpretation of the sort that goes beyond the routine patterns." His students did "substantially better" on term papers based on the analysis of data. In the book, the focus is on a serious analysis of real case studies; on strategies and tools of modern statistical data analysis; on the interplay of statistics and scientific learning; and on the communication of results. With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get students excited about statistics. ... Read more

Reviews (4)

Crappy book
Horrible, solution manual is a joke. I could have written a better book than this piece of garbage.

Great Intro Level Statistics Book
This is a great introductory statistics book, for students who are taking beginning level stats courses. The examples are cleary laid out and it's not too heavy on the theory.

The Statistical Sleuth has it's good points...
This unique book has it's good points. It attmepts to show how to use different types of statistical analyses work together and what order to use them in.

However, it is poorly written. The authors will start to use terms and ideas that may or may not be defined two or ten pages later, or maybe in a following chapter and you're never quite sure if something will be explained or whether this is something you should already know. This makes for a slow and aggrevating read to the neophyte. Sometimes it seems like a concise statement of the subjects it addresses, but maybe only after you already have mastered them.

If the authors reread the book with a fresh eye, it could be edited and rewritten into a real treasure. Excellent start

An excellent graduate-level text
This is a superb text for graduate students or advanced undergraduates. The case studies are excellent, and the approach is innovative. The strength of the book is its coverage of regression models (linear algebra not used - a weakness if you want to program in Matlab, but ok for SPSS). The examples are drawn from Ecology (esp. Island biogeography), Evolutionary biology, geochemistry, environmental policy, medicine and law. There is something of interest for even the most diverse audience. ... Read more

Book Description

Michael Steele describes the fundamental topics in mathematical inequalities and their uses.Using the Cauchy-Schwarz inequality as a guide, Steele presents a fascinating collection of problems related to inequalities and coaches readers through solutions, in a style reminiscent of George Polya, by teaching basic concepts and sharpening problem solving skills at the same time. Undergraduate and beginning graduate students in mathematics, theoretical computer science, statistics, engineering, and economics will find the book appropriate for self-study. ... Read more

Reviews (1)

Wonderful Book --Wish I had had it to read it in high school
Get it now -- don't wait!

As might be expected from the title, Steele's book includes an in depth exploration of the Cauchy Schwarz. It, however, includes so much more -- for example, many, many useful inequalities are set forth in its pages. But even its richness in range and number of inequalities (and equalities) is secondary to Prof. Steele's method of explication. For the real fruit of this book is the techniques and confidence built by the exercises and exposure to the examples. The exercises feed and bolster confidence in approching or deriving familiar and more importantly, never-before-seen inequalities, a confidence which grows with each page and exercise. Techniques that might normally only accrete after years of experience in the course of undergraduate and graduate mathematics courses are set forth one after another. On top of that, this is one of that handful of mathematics books that you can read almost like a novel. It's so readable and rewarding/interesting and engaging that when people have asked me what I have been reading lately, I can answer with a good deal of pride and satisfaction: "a book on the Cauchy Schwarz inequality" -- which I never said about Royden, etc. These techniques are vital for many types of research -- applied mathematics, CS, economics, statistics, (and competitions) to name a few -- in all of these areas finding bounds can play a central role in research. Well worth every penny. ... Read more

Book Description

The Bayesian approach to statistics is now widely accepted as theoretically sound and practically viable. Enormous advances in Bayesian methodology in recent years have resulted in a great expansion of applications of Bayesian statistics in a wide variety of fields. This important addition to the series provides a comprehensive and readable treatment of modern Bayesian theory. ... Read more

Reviews (2)

O'Hagan's Jewel
I found this book to be my constant reference.
Like Tonny's narative style and the part on NIG Priors!
Contains valuable contributions by the author
hard to find elsewhere.

Highly recommended!

Good but not excellent
This is a very good book for graduate-level courses. It is especially useful if the student took an elementary level Bayesian Statistics/Econometrics course. The organization of the chapters are different from most other books. Chapters contain between 40 and 60 "little sections," where a section can be one paragraph long. It is easy to understand what is fundamental and what is peripheral while reading the book.
However, it has a considerable number of errata. It is quite difficult to understand why the author have not prepared a list of errata and corrections. The errors are generally not conceptual, but usually mathematical typos. They also exist in some problems, which first make you think they are unsolvable. It can take some time to figure out where the error is. Moreover, errors also exist in some solutions inside chapters. The best thing the authour would do is to prepare a list of corrections on his website (this is done by many authors in the field such as Peter Lee). ... Read more

Book Description

While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs). This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS. It describes methods for assessing the likelihood of observed patterns and quantifying the link between exposures and outcomes in spatially correlated data.
This introductory text is designed to serve as both an introduction for the novice and a reference for practitioners in the field
Requires only minimal background in public health and only some knowledge of statistics through multiple regression
Touches upon some advanced topics, such as random effects, hierarchical models and spatial point processes, but does not require prior exposure
Includes lavish use of figures/illustrations throughout the volume as well as analyses of several data sets (in the form of "data breaks")
Exercises based on data analyses reinforce concepts ... Read more

Book Description

The first practical look at spatial statistics for the scientist and engineer. Designed for the scientific and engineering professional eager to exploit its enormous potential, Statistics for Spatial Data is a primer to the theory as well as the nuts-and-bolts of this influential technique. Focusing on the three areas of geostatistical data, lattice data, and point patterns, the book sheds light on the link between data and model, and reveals how spatial statistical models can be used to solve a host of problems in science and engineering. Revised to reflect state-of-the-art developments, this edition also features many detailed examples, numerous illustrations, and over 1,000 references. The first fully comprehensive introduction, Statistics for Spatial Data is an essential guide for professionals in biology, earth science, civil, electrical, and agricultural engineering, geography, epidemiology, and ecology. "This excellent book, which presents the most important branches of modern spatial statistics in an exemplary manner, will become a basic reference book and will popularize many methods which have been used until now only by small circles of specialists." -Mathematical Reviews "The majority of geoscientists should make sure they have access to this volume, while for those who are actively involved in applying statistical methods to data (of all sorts) this book should be in their personal libraries. As a compendium of statistical procedures to use to analyze data, this volume will surely provide a good solid framework for some time to come." -Geophysics ... Read more

Reviews (3)

Bible or Paperweight? I hope you are a mathematical guru!
This text is more of a formula-reference with examples and is written for persons with substantial statistical / mathematical background. While I am sure that the text represents substantial value for those with substantial backgrounds in statistics / mathematics/ calculus, the rest of us may be somewhat less enlightened by the text. Make sure you have read over your Statistics 101, 102, 201, 202, 301, 302, 401, 402, 501, 502, Calculus 101, 102, 201, 202, and committed these texts to memory before reading this text. If you never met a formula you didn't like...this text is for you. The author does not hold your hand through the math and if you lack the background required, the book may have better use as a paperweight.

the bible for spatial statistics
This is a wonderful source of information on methods for analyzing spatial data. It is still reasonably current for this rapidly developing area in statistics. You won't find some of the latest research on the joint modeling of space and time. But I expect that Cressie is working on a book that will cover it. It is an encyclopedia of references. The author covers the gamut of techniques. This explains why the book is so lengthy. I think that if he plans a revision he will be more selective and only cover those methods that have proved to be the most promising. Here you can finally learn what kriging is and even see how the bootstrap can be applied to spatial data.

The best book for Geostatistician and not only ...
The book covers very wide spectrum of different simulation and prediction methods and techniques. One can really merit from this book but under good mathematical background. The large number of practical examples helps for better understanding. The most of them can be recommended to apply for the development and testing of own statistical and mathematical software. ... Read more

Book Description

Now the omnibus edition Numerical Recipes Code CDROM contains all the source code from the brand-new Numerical Recipes in C++ and the Numerical Recipes in C++ Example Book, including a stand-alone class library, in addition to all the source code for the routines and examples from: Numerical Recipes in Fortran 77: The Art of Scientific Computing (Second Edition); Numerical Recipes in Fortran 90: The Art of Parallel Scientific Computing; Numerical Recipes in C: The Art of Scientific Computing (Second Edition); Numerical Recipes in Pascal: The Art of Scientific Computing; Numerical Recipes Routines and Examples in BASIC plus the complete public domain SLATEC Common Mathematical Library, a freely redistributable collection of over 1400 mathematical and statistical routines, and many other extras. The ISO 9660 standard format CD-ROM can be used by Windows (all versions) and Macintosh compatible computers.HTML files included on the CD-ROM allow the use of any Web browser to navigate among all the program files. Included with the CD-ROM is a license to use all the copyrighted Numerical Recipes code on a single Windows or Macintosh compatible computer. ... Read more

Book Description

Probabilistic reasoning, statistical methods, and measures of engineering judgment are combined to develop a quantified approach for analyzing and managing risks in civil engineering systems and the applied earth sciences. The resulting risk analysis approach described in this book reflects an emerging trend in geotechnical engineering, natural hazards mitigation, infrastructure protection, and other civil engineering fields to directly and quantitatively deal with uncertainty. Reliability and Statistics in Geotechnical Engineering offers a much needed state-of-the-art reference for risk analysis in geotechnical engineering and geology.

Integrating theory and practical applications, this book:

• Discusses the nature and philosophy of uncertainty in geological and geotechnical engineering.
• Addresses fundamentals and limits of probabilistic and statistical methods in the geological and geotechnical context.
• Develops statistical approaches to site characaterization decisions and for analyzing field and laboratory data.
• Explains traditional and emerging risk analysis methodologies and provides guidance for their use.
• Presents many applications of statistics, reliability, and risk techniques to practical problems.

Emphasizing both theoretical underpinnings and practical applications, this comprehensive text constitutes an invaluable reference for practising geotechnical engineers, geologists, university students, and civil engineers in general practice. ... Read more

Book Description

Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals with little background in regression as well as statistically oriented scientists (biostatisticians, econometricians, quantitative social scientists, and epidemiologists) with knowledge of regression and the desire to begin using more flexible semiparametric models. ... Read more

Book Description

This unique book is a guide for students and graduates of mathematics, statistics, economics, finance, and other number-based disciplines contemplating a career in actuarial science. Given the comprehensive range of the cases that are analyzed in the book, the Actuaries' Survival Guide can serve as a companion to existing study material for all courses designed to prepare students for actuarial examinations.

* Based on the curricula and examinations of the Society of Actuaries (SOA) and the Casualty Actuarial Society (CAS)
* Presents an overview of career options and details on employment in different industries
* Provides a link between theory and practice; helps readers gain the qualitative and quantitative skills and knowledge required to succeed in actuarial exams
* Includes insights from over 50 actuaries and actuarial students
* Written by Fred Szabo, who has directed the actuarial co-op program at Concordia University for over ten years ... Read more

Reviews (1)

Fred Szabo Doesn't Deserve To Be Called An Author
This book is useless. I bought it hoping to learn more about the actuarial profession. I returned it after the first "chapter." Basically the author asks a question and then obtains responses from 40 different people in the industry (students, professors, insurance companies, etc.) It is extremely boring and informative. This is nothing more then the results of a questionare give to a few hundred people. Szabo isn't an author, he's a data entry clerk. SKIP! ... Read more

Book Description

• Assuming no prior MATLAB experience, this clear, easy-to-read book walks readers through the ins and outs of this powerful software for technical computing
• Generously illustrated through computer screen shots and step-by-step tutorials that are applied in the areas of mathematics, science, and engineering
• Clearly shows how MATLAB is used in science and engineering

Reviews (1)

very good book for begineers
If you do not know anything about MATLAB, this is the book you should have at the first step. It teaches you every basic steps and how to apply them to real engineering or mathematical problems in an interactive environment. It has very good screen shots and real world problems to show how to use MATLAB. It reinforces the concepts with quality exercise questions. It is very easy to read and understand. It is absolutely a beginner book not for an advance user. ... Read more