Book Description

Statistics with Maple is a practical guide for engineers, statisticians, business professionals and others who use the Maple software package and who wish to use it to produce numerical summaries, make graphical displays, and perform statistical inference. The book and software package is unique in its focus on using Maple for statistical methodology.

This tutorial and reference manual assumes that readers have a basic knowledge of statistics and a familiarity with Maple.

* When a statistical concept is introduced, the appropriate Maple syntax is provided along with a straightforward, worked-out example
* Authors provide over 150 procedures on a CD-ROM that is packaged with the book
* Users are invited to copy the code into Maple worksheets and modify it for their own use ... Read more

Reviews (13)

A looming identity crisis for socialist utopians
Stephen Moore, leader of the Club For Growth, and the recently deceased Julian Simon, made famous by his bet with Robert Ehrlich and also from his solution for airline overbooking, have contributed once again to the dragon-slaying of the social justice mythology. Their rigorous compilation of data on the continued ability of free market economies to create an ever rising surplus for all people is unsurpassed. I read Simon's "State of Humanity" a couple of years ago and it was equally as informative. Alm & Cox's "Myths of the Rich and Poor" also correlates with the data presented in this book.

An interesting phenomena occurs when you present this book to die-hard socialists. They continue to disclaim its validity by eg. citing the disparity between CEO compensation and the bottom 25% of the population. In fact they present you with statistics of their own which seemingly refute the data in this book. When you probe and ask them how their statistics were compiled they become evasive and fuzzy, but they continue to rely on them to underpin their position. They engage in the fallacy of inductive logic which consists of reasoning from the particular to the general i.e. if they used the Canadian health care system for a cough and they were satisfied with the results of their medical care then ipso facto such a system is good. In addition it's better than the U.S. system because it's cheaper, etc. They ignore all the other inputs and outputs that any cursory economic study would investigate. It's almost like they would suffer an emotional crisis if they had to accept relity i.e. like the conclusions in this book. Why this is so would be worthy of continued discussion, but the need to denigrate solid evidence seems neccessary in order to retain their sense of self.

Emotional trauma, provided by irrefutable evidence contrary to a belief system, seems to erode one's certainty in adhering to a false construct; but results are uneven and take long periods of time to penetrate society. Statistics, such as we have here, are younger than our century, and have only been subject to accurate number crunching coincident with the rise of the main frame computer (in the 60's). The authors should continue to educate the people. A constitutional republic such as ours works best with the input of an educated citizenry. Kudos to Moore and Simon, may he rest in peace.

This book is the antidote to so much pessimism
Every four years we're told how civilization has fallen into ill-rebuke. The chattering classes continue to repeat the Marxist slogan that the poor have fallen behind while the idle rich have gotten richer by stealing from the poor. But this rare optimistic book knocks those arguments cold. As a civilization, Americans are healthier, smarter, wealthier, happier, than at any time in America or the world at any point in civilization. There is not such a thing as the so-called "good old days." Today is the good old days, as is the future. In this book, you will see that by any measurement, the American people have continued to make lasting and important changes. From inventions to wealth to health and education, we have made remarkable progress and should be proud that we have a civilization that has encouraged us to do so. And this book will provide the evidence needed to rebuke the annoying liberal noisemakers such as Michael Moore who continue to look to the welfare-states of Europe as the utopian view of the future.

Michael Gordon

A Nice Dose of Reality
A lot of people will look at this book, and start making outrageous statements like, "the government is responsible for alot of this." Hate to break it to you, but these trends have been happening long before government started robbing people and businesses blind. Government is like the local homeless drunk, give him a nickel, he'll ask for a quarter the next day. People need to have a little faith in themselves, the human condition is understanding the world around us and doing more for ourselves with less from the world. Its called productivity, and it is expandable. Increases in productivity have been making all of us wealthier, and allowing us to work less at the same time. Thank god for capitalism.

Smaller, richer families
A reader from Great Falls is off base on "family income" as a measure of prosperity. "Household income" is another dubious measure. Over the last several decades, the average size of a family, and of a household, has steadily decreased. Several factors contribute to this decline, more frequent divorce, more independent elderly and children, etc. This decline makes average "family income" and "household income" very misleading measures of changing wealth, because these statistics measure the income of fewer and fewer people as time passes. "Household income" rose little between the seventies and mid-nineties for example, according to the Census Bureau's annual household survey, but individual income (per capita income) rose steadily in the same period. Not surprisingly, as people become wealthier, they choose to live more independently, in smaller groups. If we accept "family income" or "household income" as a measure of wealth, rather than per capita income, we're assuming that six people living in one house with an income of $50k are richer than six people living in two houses, each with three people earning $40k. Of course, this assumption is absurd.

A not entirely forthright look at the subject
Moore is president of the conservative Club for Growth and has been a vociferous spokesperson for slashing taxes and reducing the size of government. He is well known for twisting the facts and employing faulty statistics to prove his point. An example of this is relying upon per capita income rather than the more widely accepted (and more revealing) family income.

Clearly, many of the trends described in the book are what most people, including myself, would agree to be improvements over the past 100 years. From educational and environmental improvements to declining poverty rates for the elderly, these are good things.

However, many of the improvements they list could be ascribed to the big government they loathe. The improvements in the environment which Moore and Simon laud did not come about because industry volunteered to restrict their emission of pollutants. Those improvements came about because of government legislation and adequate tax revenues to enforce it. For example, Detroit automakers refused to increase fuel efficiency until legislation required it, just as they refused seatbelts. It could also be argued that the improvements in education are the result of government intervention. Likewise, elderly poverty rates. Even the Internet we are using this very moment was ultimately derived from the Department of Defense.

Moore and Simon also never discuss the growing disparity in wealth in the United States, in which inequality has grown since the late 1960's. This inequality, as quantified by the Gini Index, shows the U.S. with greater inequality than any other industrial or "wealthy" nation. While those at the top control ever more wealth, there is less for those at the bottom of the ladder. Sure, the poor in America are mostly better off than in a third world country, but it doesn't follow that that's good enough.

In all, I'd say there are some reasonable points made here, but Moore and Simon paint a picture that is somewhat brighter than reality. ... Read more

Book Description

People are bombarded with statistical data every day, but not many have had training in how to interpret or analyze this information.Kurtz's accessible writing style provides a basic yet sophisticated introduction to understanding and analyzing statistical applications.The book gives careful attention to the flow of ideas and concepts so there is a stream of logic which flows throughout, adding to the book's readability.The book begins with a discussion of methods for describing the distribution of a variable. The introduction of probability avoids the traditional discussion of the basic laws of probability, providing instead an explanation which can be directly applied in the everyday use of statistical probability.The discussion of the book is focused primarily on the relationship of probability to outcomes. Sociologists, psychologists, social workers, political scientists, educators, as well as anyone who wants to analyze data. ... Read more

Book Description

This original text on the basics of option pricing is accessible to readers with limited mathematical training. It is for both professional traders and undergraduates studying the basics of finance. Assuming no prior knowledge of probability, Sheldon Ross offers clear, simple explanations of arbitrage, the Black-Scholes option pricing formula, and other topics such as utility functions, optimal portfolio selections, and the capital assets pricing model. Among the many new features of this second edition are: a new chapter on optimization methods in finance, a new section on Value at Risk and Conditional Value at Risk; a new and simplified derivation of the Black-Scholes equation, together with derivations of the partial derivatives of the Black-Scholes option cost function and of the computational Black-Scholes formula; three different models of European call options with dividends; a new, easily implemented method for estimating the volatility parameter.Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of California at Berkeley. He received his Ph.D. in statistics at Stanford University in 1968 and has been at Berkeley ever since. He has published nearly 100 articles and a variety of textbooks in the areas of statistics and applied probability including Topics in Finite and Discrete Mathematics (Cambridge University Press, 2000), An Introduction to Probability Methods, Seventh Edition (Harcourt Science snd Technology Company, 2000), Introduction to Probability and Statistics for Engineers and Scientists (Academic Press, 1999), A First Course in Probability, Sixth Edition (Prentice-Hall, 2001), Simulation, Third Edition (Academic Press, 2002), and Stochastic Processes (John Wiley & Sons, 1982).He is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences, a fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt U.S. Senior Scientist Award. ... Read more

Reviews (2)

Its easy to read!
This is a pretty good book for whom doesn't have strong background in financial engeering. It begins from probability and I think this is a very good point to start. On the other hand, you also can know the where the formula comes from because the author use a small space to explain it. It is pretty funny!
One problem, this book doesnot cover all of the importnat topics such as Ito calculus but it is still a good book.

an outstanding reference; easy to understand!
This reference starts with the basics and builds to the main subjects introductory students would want to see, for example, the derivation of the Black-Scholes equation. This is a very good book to read first since the author explains his subject very clearly, and the book is self-contained. ... Read more

Book Description

This book is intended to provide the applied researcher with the capacity to perform statistical analyses with SAS software without wading through pages of technical documentation. The researcher is provided with the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write up results for reports and journal articles. ... Read more

Reviews (19)

If only these guys worked for SAS
In short, this is THE book to have if you are a regular person who needs to use SAS. While most SAS applications are a nightmare for all but the full-time statistician/SAS user, this well-written book makes things seem pretty easy. It includes some useful background material on statistical procedures as well as references for the more inquiring mind. This is an essential companion for SAS in the real-world. SAS would do well to take on some of the suggestions in this book.

A once great book whose time has passed
Once upon a time, I could not recommend this book highly enough. That's the problem--"once upon a time". In 2004, this book violates what I consider an overriding consideration for instruction books: Never distract the new user with picky details that s/he'll will rarely need in practice.

The first few chapters are written using INPUT and DATALINES; commands to enter data. For those unfamiliar with SAS, that means the authors enter all of their data as lines of text typed inside their command language. No one works that way any more! It's a hold over from the days of punchcards. Does the new user really need to know that
INPUT ID 1-3 AGE 4-5 GENDER $6;
means "look in columns 1-3 for a numerical id, columns 4-5 for numerical age, and column 6 for a character designating gender"? When the 4-th edition was written, the answer might have been yes, but even then it would have been given grudgingly. For more than a few years, data almost always arrive as data sets that have already been made into SAS files or as spreadsheets that can be imported directly into SAS. This method of data input would not be a fatal flaw if the material were in a later chapter or an appendix, but it's woven throughout the text starting with the first example on page 3.

I would love to see this book updated with a more modern view to how data are processed and analyzed, but I can no longer recommend it in its current form.

A must-have for beginners
Two years ago, I did not know anything about SAS and was intimidated by the SAS Users' Guide. This book beat several others and became my key reference book. The book is simple, elegant and entertaining. I have recommended it to several of my colleagues.

Wonderful book for practitioners
I have a PhD in Marketing and MSEE, and because of this, a good, basic knowledge of statistics. Nevertheless, when i started working in quantitative marketing research, i was often posed with practical problems where i didn't have an immediate answer. THis book was often a lifesaver for me. When i ran into a practical problem analyzing data, i could look something up at the right page, and it would give me the basic intuition and workable prescriptions for a wide range of non-trivial, intermediate problems. My impression is that the people giving this book low ratings are looking for statistical theory, which of course this book isn't about. That's like blaming a pick-up truck for not being as sexy as a roadster. If you live in the real world however and don't have days to figure out the theoretical fine points and accompanying SAS codes, but still want to do solid work and get the basic intuition of what you're doing, this book is worth its weight in gold. I used this in market research, but I'm sure this would be valuable in all social sciences, and probably also in other applied fields such as medical statistics, biology, etc.

too wordy and extremely basic
I am at a loss to see what people like about this book. The authors were extremely wordy in my opinion and took much too long to make a point. This book is extremely basic, so if you know anything about statistics, I feel you may be happier with something more advanced. ... Read more

Book Description

Six full-length practice exams are presented with all questions answered and explained. A subject review covers all AP test topics, including exploratory analysis, methods of data collection, probability, statistical inference, and much more. The author also provides practice and review questions following each review topic, advice for test-taking success, uses of the calculator in statistical analysis, and an AP scoring guide. ... Read more

Reviews (10)

Useful, but updated edition needed
I used this book to review for the 2001 AP statistics exam in class. It was very useful because my class was taught using a standard college statistics book, and lacked the depth needed to do well on the exam. When used over nearly and entire semester, I practically relearned statistics using this book. The review chapters are extremely useful and very in depth. They cover everything you need to know for the exam at the level you need to know it.

However, the end of chapter and review test problems are a different story. They were designed after the old form of the test which stressed calculator usage. However, when taking the test, I found that most of the review problems were nothing like the ones on the actual test. Luckily, I still managed to get a 5, because of the review chapters. This is definitely a book that you need to start at least 2 months before the actual test to let it all sink in.

Never taken a statistics class and got a 5
Statistics is probably one of the easiest AP exams you can take if you are a math-minded person. I bought this book and went through it once, and without using anything else I was able to achieve a 5 on the Stat exam. Saved me a lot of trouble when I got to college by already having the credit, I would recommend anyone with skills in math take the Stat exam.

Excellent Book from a NY high school student
My whole class used this book. The chapter reviews were easy to follow and very thorough. The practice exams were more difficult than the real exam and so we were really prepared.

Was this ready to be released?
I'll quickly admit to this: the concepts in this book are explained much more clearly than anything my teacher has said or given to me. But, of course, she's a horrible teacher.

However, I've never seen so many typos in a book! I'm convinced that whoever wrote this up was either not paying attention or had no idea what they were typing. For instance: on pg. 466 they state the null hypothesis as Ho:p1-p2=0, and then Ha:p1-p2=0. For those of you who haven't taken statistics, this is nonsense. Ha is supposed to be the opposite of Ho.

On page 180, there is a formula for the variance of a binomial distribution: Sigma squared X = (1-p). I thought it looked odd but I tried it out to find my answer completely off the mark. I was freaking out until I saw the right equation in a paragraph at the top of the page (... =np(1-p))

While often if you try, you can find your way around these, being fed misinformation while studying for an AP exam is terrifying. Keep away until another edition.

amazon.com customer
The review chapters of the book are really great while the practice tests did not help much. Anyways I managed to get a 5~ This book is good enough to prepare you to get a 5. ... Read more

Reviews (1)

Great historical reference
This is one of the 2 books that fills in all the details of Elliott Wave research and history in the time period between Elliott himself and today's Robert Prechter. The other book is the Elliott Wave Writings of A.J. Frost and Richard Russell.
In short, this book is a very necessary addition to any serious student of Elliott and Socionomics. It takes you through the history of great market calls as well as providing insight into how the knowledge of Elliott Wave has gotten to be where it is today. ... Read more

Book Description

This book develops the use of statistical data analysis in finance, and it uses the statistical software environment of S-PLUS as a vehicle for presenting practical implementations from financial engineering. It is divided into three parts. Part I, Exploratory Data Analysis, reviews the most commonly used methods of statistical data exploration. Its originality lies in the introduction of tools for the estimation and simulation of heavy tail distributions and copulas, the computation of measures of risk, and the principal component analysis of yield curves. Part II, Regression, introduces modern regression concepts with an emphasis on robustness and non-parametric techniques. The applications include the term structure of interest rates, the construction of commodity forward curves, and nonparametric alternatives to the Black Scholes option pricing paradigm. Part III, Time Series and State Space Models, is concerned with theories of time series and of state space models. Linear ARIMA models are applied to the analysis of weather derivatives, Kalman filtering is applied to public company earnings prediction, and nonlinear GARCH models and nonlinear filtering are applied to stochastic volatility models. The book is aimed at undergraduate students in financial engineering, master students in finance and MBA's, and to practitioners with financial data analysis concerns. ... Read more

Reviews (5)

A Great Tool to get an Intuitive Feel for Statistics
I took Prof. Carmona's class at Princeton using lecture notes from which the book is directly derived.I can say that I had no better experience than this class, and it truly gave the layman (that would be me) a great feel for basic and intermediate statistical techniques and analysis.Prof. Carmona's intention, as he stated at the beginning of the course was to give us a "license to practice statistics" and I think successful study of this book will give you just that.

Dataset available now Prof Carmona's site
while I agree that Prof Carmona should have made the dataset available upon launching the book (...), I think you guys should have taken the time to email him and just ask for it, which I did.

Besides this book is just what the doctor ordered for those us fluent in S-Plus and that have adopted it as tool of choice to perform empirical finance work.

I rate this book 4 stars.

What a rip-off
After spending big money for this book, I was shocked I had to shell out even more money to get the data and S-plus scripts. Her book is like an old style teaser. Don't get suckered in.

No data and software online
The links to datasets and software don't work. If you read the preface online at Springer you will be misleaded thinking that the author will maintain a site with the data and software used in the book. In fact if you will need to buy finmetrics(Splus module) to reproduce the examples.
I don't recommend.

Webpage doesn't work, no datasets
I got this book thinking that since I use S-plus as a derivatives trader at a Bulge Bracket I-bank, how great it is that a Princeton Professor would use this statistical software package to do all sort of analysis of Financial Time Series.

Sorry to say that all the datasets that he refers to in the book and that are necessary to do the problem sets are not available.The webpage he constantly refers to in the book just does not work, and none of the other links on his homepage refer you to the datasets.

Don't buy this unless you want to waste your money. ... Read more

Reviews (1)

best statistics for economy students
I am an economics student and my Statistics Instructor, Mrs Pastine, used to give citations to itI believe this is the best statistics book you can find if you are a student of management and economicsIt tells everthing in a way that you first get the idea and then apply it into mathUnlike other statistics books you dont need to fight any formulasAlso I believe the examples are really intiuative ... Read more

Book Description

Written by JMP developers John Sall, Ann Lehman, and Lee Creighton, of SAS Institute, JMP Start Statistics is the official user's guide to JMP® and JMP IN - the powerful statistical discovery software created by SAS Institute. Designed for first-time users of JMP 4 and JMP IN, JMP Start Statistics is a comprehensive reference tool, rich with examples and exercises show how to use JMP and JMP IN to analyze real data. It contains clear instruction on JMP's many statistical functions. And it even serves as a handy guidebook to learning basic statistical concepts.Overall, this guidebook is a friendly and enjoyable, yet comprehensive, introduction to JMP and JMP IN. ... Read more

Reviews (1)

Very informative
If you use JMP and need something to fill in the statistical details omitted in the user manuals, then this is the book for you.

I have used JMP for a while, and with a basic knowledge of statistics it is a useful tool. It got to the stage where I knew that JMP was capable of doing alot more analysis than my limited knowledge of statistics would let me understand. I could get the software to carry out all manner of analyses, I just didn't always understand what the output was telling me. The book "JMP Start Statistics" starts right at the beginning and takes you all the way through to things such as multiple regression, design of experiments and statistical quality control, all the while explaining the statistics in a clear and concise manner. This book will definitely help you get more out of JMP than just the manuals, which tend to assume you already have a statistics background, would. ... Read more

Book Description

This introduction to statistics helps readers develop and enhance their critical thinking skills. It shows readers how to analyze data that appear in situations in the world around them and features an abundance of examples and exercises—nearly all based on current, real-world applications pulled from journals, magazines, news articles, and commerce.In addition, this book exposes readers to the most recent statistical software packages that will prove helpful on the job.Presenting balanced coverage of both the theory and application of statistics, the book discusses methods for describing data sets; probability; random variables and probability distributions; inferences based on a single sample utilizing tests of hypothesis and confidence intervals; comparing population proportions and means; simple linear regression, and much more.For business, engineering, and science professionals. ... Read more

Reviews (1)

This is a "must have" book for a new student in statistics.
This book removes all those fearsome notions about statistics. The topics presented are sequential, well organized and easy to understand.Case studies are helpful in associating learned concepts to real world applications. Examples from various statistical packages give students a flavor of how computer generates statistical reports.Examples with solutions guide students toward step by step understanding of concepts involved. Overall, this is an excellent book for all those students who really want to get serious about statistics. ... Read more

Book Description

Designed for readers with a background in basic algebra, this best-selling introduction to statistics for business and economics emphasizes inference—with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and make good business decisions. It stresses the development of statistical thinking, the assessment of credibility and value of the inferences made from data—both by those who consume and those who produce them—and features numerous case studies, examples, and exercises—all drawing on real business situations and recent economic events.Statistics, Data, and Statistical Thinking. Methods for Describing Sets of Data. Probability. Random Variables and Probability Distributions. Inferences Based on a Single Sample: Estimation with Confidence Intervals. Inferences Based on a Single Sample: Tests of Hypothesis. Comparing Population Means. Comparing Population Proportions. Simple Linear Regression. Introduction to Multiple Regression. Basic Methods for Quality Improvement.For anyone interested in statistics for business and economics. ... Read more

Reviews (2)

This has to be the worst book I've ever encountered
There were errors all throughout the book. Two of the critical tables in the back were either incomplete or incorrect. The author clearly has no idea how make concepts clear, nor were the definitions and examples adequate. The answers in the back of the book are not detailed and provide no examples of how the answers were derived.

The companion CD-ROM was useless. It contained numbers and information that had to be manually re-entered into a useable format. Examples on the CD were as unuseable as the text.

The Student Solutions Manual that is recommended for this book provides neither definitions nor examples.

This book, I hesitate to call it a textbook, should be removed from any school curriculum.

I wish I could rate it with negative stars. This book would receive -3 stars.

Nearly flawless book in introductory statistics.
I found this introductory statistics textbook as a very appropriate companion when taking an intro statistics course. The author does a good job on making concepts clear with definitions along with detailed examples. The selected answers in the back of the book unfortunately are not detailed and do not give the student steps on how the answer was derived. The printouts of software experiments using SAS, SPSS, MINITAB, etc, in the text, I found very useful and supplemental in learning the material. It clearly describes and shows the steps on how the projects were performed on the specified software application.

Unfortunately, the companion CD-ROM was a disappointment. Rather than being full of clear and well thought out examples and definitions, it instead contains some bland text along with confusing examples.

Besides the companion CD-ROM, the textbook itself is well planned out with clearly written text and straightforward examples. ... Read more

Book Description

The SPSS 13.0 Brief Guide provides a set of tutorials designed to acquaint you with the various components of the SPSS system. You can work through the tutorials in sequence or turn to the topics for which you need additional information. You can use this guide as a supplement to the online tutorial that is included with the SPSS Base 13.0 system or ignore the online tutorial and start with the tutorials found here. ... Read more

Book Description

The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists. Currently available in the Series: T. W. Anderson The Statistical Analysis of Time Series T. S. Arthanari & Yadolah Dodge Mathematical Programming in Statistics Emil Artin Geometric Algebra Norman T. J. Bailey The Elements of Stochastic Processes with Applications to the Natural Sciences Robert G. Bartle The Elements of Integration and Lebesgue Measure George E. P. Box & George C. Tiao Bayesian Inference in Statistical Analysis R. W. Carter Finite Groups of Lie Type: Conjugacy Classes and Complex Characters R. W. Carter Simple Groups of Lie Type William G. Cochran & Gertrude M. Cox Experimental Designs, Second Edition Richard Courant Differential and Integral Calculus, Volume I Richard Courant Differential and Integral Calculus, Volume II Richard Courant & D. Hilbert Methods of Mathematical Physics, Volume I Richard Courant & D. Hilbert Methods of Mathematical Physics, Volume II D. R. Cox Planning of Experiments Harold M. S. Coxeter Introduction to Modern Geometry, Second Edition Charles W. Curtis & Irving Reiner Representation Theory of Finite Groups and Associative Algebras Charles W. Curtis & Irving Reiner Methods of Representation Theory with Applications to Finite Groups and Orders, Volume I Charles W. Curtis & Irving Reiner Methods of Representation Theory with Applications to Finite Groups and Orders, Volume II Bruno de Finetti Theory of Probability, Volume 1 Bruno de Finetti Theory of Probability, Volume 2 W. Edwards Deming Sample Design in Business Research Amos de Shalit & Herman Feshbach Theoretical Nuclear Physics, Volume 1 — Nuclear Structure J. L. Doob Stochastic Processes Nelson Dunford & Jacob T. Schwartz Linear Operators, Part One, General Theory Nelson Dunford & Jacob T. Schwartz Linear Operators, Part Two, Spectral Theory—Self Adjoint Operators in Hilbert Space Nelson Dunford & Jacob T. Schwartz Linear Operators, Part Three, Spectral Operators Herman Feshbach Theoretical Nuclear Physics: Nuclear Reactions Bernard Friedman Lectures on Applications-Oriented Mathematics Phillip Griffiths & Joseph Harris Principles of Algebraic Geometry Gerald J. Hahn & Samuel S. Shapiro Statistical Models in Engineering Morris H. Hansen, William N. Hurwitz & William G. Madow Sample Survey Methods and Theory, Volume I—Methods and Applications Morris H. Hansen, William N. Hurwitz & William G. Madow Sample Survey Methods and Theory, Volume II—Theory Peter Henrici Applied and Computational Complex Analysis, Volume 1—Power Series—Integration—Conformal Mapping—Location of Zeros Peter Henrici Applied and Computational Complex Analysis, Volume 2—Special Functions—Integral Transforms—Asymptotics—Continued Fractions Peter Henrici Applied and Computational Complex Analysis, Volume 3—Discrete Fourier Analysis— Cauchy Integrals—Construction of Conformal Maps—Univalent Functions Peter Hilton & Yel-Chiang Wu A Course in Modern Algebra Harry Hochstadt Integral Equations Leslie Kish Survey Sampling Shoshichi Kobayashi & Katsumi Nomizu Foundations of Differential Geometry Erwin O. Kreyszig Introductory Functional Analysis with Applications William H. Louisell Quantum Statistical Properties of Radiation Ali Hasan Nayfeh Introduction to Perturbation Techniques Ali Hasan Nayfeh and Dean T. Mook Nonlinear Oscillations Emanuel Parzen Modern Probability Theory and Its Applications P. M. Prenter Splines and Variational Methods Walter Rudin Fourier Analysis on Groups I. H. Segel Enzyme Kinetics: Behavior and Analysis of Rapid Equilibrium and Steady-State Enzyme Systems C. L. Siegel Topics in Complex Function Theory, Volume I—Elliptic Functions and Uniformization Theory C. L. Siegel Topics in Complex Function Theory, Volume II—Automorphic and Abelian Integrals C. L. Siegel Topics in Complex Function Theory, Volume III—Abelian Functions & Modular Functions of Several Variables J. J. Stoker Differential Geometry J. J. Stoker Water Waves: The Mathematical Theory with Applications J. J. Stoker Nonlinear Vibrations in Mechanical and Electrical Systems ... Read more

Book Description

This book covers mathematics of finance, linear algebra, linear programming, probability, and descriptive statistics, with an emphasis on cross-discipline principles and practices. Designed to be reader-friendly and accessible, it develops a thorough, functional understanding of mathematical concepts in preparation for their application in other areas.Each chapter concentrates on developing concepts and ideas followed immediately by developing computational skills and problem solving. Two-part coverage presents a library of elementary functions and finite mathematics.For individuals looking for a view of mathematical ideas and processes, and an illustration of the relevance of mathematics to the real world. Illustrates relevance of mathematics to the real world. ... Read more

Reviews (7)

Sound choice for a finite math textbook
This is a very sound choice as a textbook for a course in finite mathematics. The coverage is appropriate, the level suitable for the non-math major, the explanations are excellent and the authors take the title seriously.
The topics are covered in the following order:

* Elementary functions and their graphs.
* The mathematics of finance.
* Matrices and systems of linear equations.
* Linear inequalities and linear programming.
* Logic, set theory and basic counting.
* Probability and probability distributions.
* Basic game and decision theory.
* Markov chains.

There are many exercises and at the end of each section there is a set of basic exercises followed by a collection of applied problems. The set of applied problems is split into three categories: business & economics, life sciences and social sciences. Since finite mathematics is often a preparation for students to work in these fields, this format is what impressed me the most. With all of these "real world" problems to work as part of their study, no student using this book could ever legitimately say that they see no purpose to their studies. Solutions to the odd-numbered problems are included.
I came into contact with this book after my choice of textbook was irrevocable. Had I seen it earlier, it would have been the one I used.

Many exercises in economics, life and the social sciences
This is a very sound choice as a textbook for a course in finite mathematics. The coverage is appropriate, the level suitable for the non-math major, the explanations are excellent and the authors take the title seriously.
The topics are covered in the following order:

* Elementary functions and their graphs.
* The mathematics of finance.
* Matrices and systems of linear equations.
* Linear inequalities and linear programming.
* Logic, set theory and basic counting.
* Probability and probability distributions.
* Basic game and decision theory.
* Markov chains.

There are many exercises and at the end of each section there is a set of basic exercises followed by a collection of applied problems. The set of applied problems is split into three categories: business & economics, life sciences and social sciences. Since finite mathematics is often a preparation for students to work in these fields, this format is what impressed me the most. With all of these "real world" problems to work as part of their study, no student using this book could ever legitimately say that they see no purpose to their studies. Solutions to the odd-numbered problems are included.
I came into contact with this book after my choice of textbook was irrevocable. Had I seen it earlier, it would have been the one I used.

Not user friendly
I am currently using this book for my college course. Examples
are not clear, and many steps missed. Per our instructor alot of the answers in the back are inaccurate. I do not recommend this book for students whom are not well versed in algebra

This finite math book really counts!!
I recommend this book in a heartbeat to anyone taking an introductory college-level mathematics course. I've used this book in courses that I've taught and students love it! Yes, there is a lot of material, but no, who says you have to read every page? It is also a great mathematics refresher! Furthermore, it covers many aspects of the mathematics of finance.

Excellent Text!
I sinmply loved the flow of this text! It mader so much sense to me the way the book went from one concept to the other! Highly recommended if you want to really learn and not "slide" through. ... Read more