Book Description

The Authoritative Principles for Successfully Integrating Systems Engineering with Project Management
Essentials of Project and Systems Engineering Management outlines key project management concepts and demonstrates how to apply them to the systems engineering process in order to optimize product design and development. Presented in a practical treatment that enables managers and engineers to understand and implement the basics quickly, this updated Second Edition also provides information on industry trends and standards that guide and facilitate project management and systems engineering implementation.
Along with scores of real-world examples, this revised edition includes new and expanded material on:
* Project manager attributes, leadership, integrated product teams, elements of systems engineering, and corporate interactions
* Systems engineering management problems and issues, errors in systems, and standards advocated by professional groups such as the Electronic Industries Association (EIA) and the Institute of Electrical and Electronics Engineers (IEEE)
* Fixed price contracting, systems integration, software cost estimating, life cycle cost relationships, systems architecting, system disposal, and system acquisition
* Risk analysis, verification and validation, and capability maturity models
Essentials of Project and Systems Engineering Management, Second Edition is the ideal, single-source reference for professional technical and engineering managers in aerospace, communications, information technology, and computer-related industries, their engineering staffs, technical and R&D personnel, as well as students in these areas. ... Read more

Reviews (2)

A book that needs updating
This book needs its concepts and focus updated and broaden. I found the book had a very narrow point of view, focusing only on a government perspective of approaching project and engineering management, and providing very little on private industry's management point of view in the book. Even when the book repeats again and again concepts on how government, DoD and NASA do business, the concepts it presents are different (outdated) from how government and DoD do business presently. In short, the book needs to be updated extensively, perhaps a brand new one written altogether.

A grad student's review
Howard Eisner's book is an outstanding work that bridges the gulf between project management and systems engineering. As a 46 year old student of Dr Eisner's, I assert this with 25 years of experience in both disciplines. His book has been a wonderful aid to refreshing and updating my skills. If a section with the answers to the problems had been included, I would have said SIX stars... Highly recommended. ... Read more

Reviews (1)

a must have reference
While nearly all SPSS versions now have pull-down windows, there are many times where you don't want to use the defaults and want to modify the pull-down options. This book includes syntax for all commands in SPSS Base for use on statistical procedures. There is an introduction that explains some of the common commands and then a comprehensive user's manual for the language alphabetized by main commands. There is also a subject index and a keyword index that is very helpful. While the examples in the book leave something to be desired, the book takes some of the fear out of creating syntax for novices. It is a much needed companion for students and experts alike. This book can be used with most SPSS versions. ... Read more

Book Description

Authors Wayne Winston and Munirpallam Venkataramanan emphasize model-formulation and model-building skills as well as interpretation of computer software output. Focusing on deterministic models, this book is designed for the first half of an operations research sequence. A subset of Winston's best-selling OPERATIONS RESEARCH, INTRODUCTION TO MATHEMATICAL PROGRAMMING offers self-contained chapters that make it flexible enough for one- or two-semester courses ranging from advanced beginning to intermediate in level. The book has a strong computer orientation and emphasizes model-formulation and model-building skills. Every topic includes a corresponding computer-based modeling and solution method and every chapter presents the software tools needed to solve realistic problems. LINDO, LINGO, and Premium Solver for Education software packages are available with the book. ... Read more

Book Description

Book Description

The second edition of this popular introduction to the classical underpinnings of the mathematics behind finance continues to combine sounds mathematical principles with economic applications.Concentrating on the probabilistics theory of continuous arbitrage pricing of financial derivatives, including stochastic optimal control theory and Merton's fund separation theory, the book is designed for graduate students and combines necessary mathematical background with a solid economic focus.It includes a solved example for every new technique presented, contains numerous exercises and suggests further reading in each chapter. In this substantially extended new edition, Bjork has added separate and complete chapters on measure theory, probability theory, Girsanov transformations, LIBOR and swap market models, and martingale representations, providing two full treatments of arbitrage pricing: the classical delta-hedging and the modern martingales.More advanced areas of study are clearly marked to help students and teachers use the book as it suits their needs. ... Read more

Reviews (4)

Hell, I should have rated it 5 stars!
If you're going to be introduced to Derivatives pricing and Quantitative finance in continuous time, you need some basics in probability theory, an elementary introduction to stochastic calculus and you need "bjork". It tells you the equation and how to understand it.

It's the best source for a complete understanding of the basics of arbitrage free pricing in continuous time; whether it's in complete or incomplete markets.

The best feature of this book is how the author invariably provides an "intuitive interpretation or explanation" to convey critical concepts. {Things like market price of risk in the context of interest rate modelling, change of measure etc...}

Why I rated the book 4 instead of 5?
I will not forgive "Tomas bjork" not to have covered the Libor Market Model; it's "THE" model and therefore should be covered in great details by any book of this calibre. A new edition of this book with the libor market model is needed.
Having said that, the coverage he gives to the popular short rate models is worth every read!

Guy,
Msc Financial Engineering at ISMA Center, Reading - UK.

Good introductory book
It is a good book to read as an introduction to the field. The author is successful in conveying the intuition behind the models instead of striving for complete mathematical rigor. I recommend this book if you want to quickly get acquainted with derivatives pricing but are a bit afraid of the higher math seen in other books.

An FE Bible
The central text for IOE 552(financial Engineering I) at the University of Michigan. Halfway through the course and I really understand the application of Ito's Lemma and the Feynman-Kac stochastic representation theorem. This book has just the right mixture of narative story telling, and mathematical rigor. The derivations are accessible to those with a semester of advanced calculus and a semester of probability. Over and over, Bjork shows that the secret of success in Financial Engineering is "RAIL" which stands for the "Relentless Application of Ito's Lemma".

Rigorous, complete, easy to understand, so worth studying
One of the best book on derivatives pricing. Professor Björk explain from the simplest model to the more elaborate pricing techniques not only the mathematical tools necessary but the methodology in a very clear and understandable manner. I wish I had a Professor like him !! Thank You Professor Björk.

A PhD Student, ... Read more

Book Description

Introducing the concepts and methods of modern statistics with an emphasis on computer assisted data analysis, the book focuses on interpretation of results rather than their computation.Review of probability, collecting data, summarizing and exploring data, sampling distributions of statistics, basic concepts of inference, linear regression and correlation, analysis of single factor and multifactor Experiments. ... Read more

Reviews (1)

Statistics and Data Analysis Review
This book was the assigned text for a graduate level statistics course I took. It is well written with examples for every technique discussed and lots of exercises at the end of each chapter. I highly recommend it. ... Read more

Book Description

Applied Time Series Modelling and Forecasting provides a relatively non-technical introduction to applied time series econometrics and forecasting involving non-stationary data. The emphasis is very much on the why and how and, as much as possible, the authors confine technical material to boxes or point to the relevant sources for more detailed information.

This book is based on an earlier title Using Cointegration Analysis in Econometric Modelling by Richard Harris. As well as updating material covered in the earlier book, there are two major additions involving panel tests for unit roots and cointegration and forecasting of financial time series. Harris and Sollis have also incorporated as many of the latest techniques in the area as possible including: testing for periodic integration and cointegration; GLS detrending when testing for unit roots; structural breaks and season unit root testing; testing for cointegration with a structural break; asymmetric tests for cointegration; testing for super-exogeniety; seasonal cointegration in multivariate models; and approaches to structural macroeconomic modelling. In addition, the discussion of certain topics, such as testing for unique vectors, has been simplified.

Applied Time Series Modelling and Forecasting has been written for students taking courses in financial economics and forecasting, applied time series, and econometrics at advanced undergraduate and postgraduate levels. It will also be useful for practitioners who wish to understand the application of time series modelling e.g. financial brokers.

Data sets and econometric code for implementing some of the more recent procedures covered in the book can be found on the following web site www.wiley.co.uk/harris ... Read more

Reviews (1)

Petition: info about authors
Please provide brief bios of these two authors. ... Read more

Reviews (7)

Simple overview of stats and how to use the software
SPSS is a popular software package used by graduate students in the social sciences, since it's a user-friendly software unlike some of the more complicated packages like SAS or Minitab that require programming language and a very sound understanding of statistics before you use them.

This guide is a basic guide to data analysis, and how to do this in SPSS. In fact, I would almost say that it is over simplified - almost all of these analyses can be done in Excel - except that it's not as easy to do it in Excel as it is in SPSS. Although SPSS itself may be somewhat simple compared to other stats software, the guide itself is marvelous.

The guide not only takes you through the steps of "how to" use the software package SPPS, but it also explains why you would want to run a particular analysis and how to interpret the results. It then goes on to explain how to modify those results or analysis according to your preferences.

For those people wishing to run more complex models, such as multiple regression, it is probably recommended that you know the statistical theory behind it, or are taking a class on it, rather than try to do this simply by using the guide, in order to make sure that you achieve a full understanding of the results. Because SPSS is so easy to use, it's easy to fall into the trap of having it run an analysis that is not so easy to interpret.

However, for people who are using SPSS as part of a course, this guide is absolutely great and I highly recommend it for any SPSS users, since the help function in SPSS itself is virtually useless.

Wonderful
This book leads you step by step to understand the statistics very well

Good for converting theory to SPSS mechanics
I've found this book extremely helpful in understanding how to set up the kinds of analysis in SPSS that I want to conduct. I have the theoretical understanding to design the experiment and know what analyses need to be conducted (and could do it by hand if I had to), but this books helps me understand how to efficiently analyze my data within the program itself. Of related books I have looked at, this is the best. The one drawback is that it is designed as a classroom tool with exercises and learning points and not for the professional user. That space could be used for more information and explanation.

A very passive educator/author
...This book should be labeled as a School or Classroom Edition and should not be sold publicly because it needs an instructor to guide you. The questions at the end of every chapter carry only a few answers to refer to. The author is not much help either and was so passive when I requested to be referred to the full answers to the questions saying that the reference for this is only for the instructors teaching the course.

Individuals intending to buy this book for self-learning should think twice. ...

A very passive educator/author
First of all, I bought this book from Amazon as there are no classroom courses offered on SPSS in the place where I come from; thus I have to learn it on my own.

This book should be labeled as a School or Classroom Edition and should not be sold publicly because it needs an instructor to guide you. The questions at the end of every chapter carry only a few answers to refer to. The author is not much help either and was so passive when I requested to be referred to the full answers to the questions saying that the reference for this is only for the instructors teaching the course.

Individuals intending to buy this book for self-learning should think twice. Aside from the absence to the full reference for answers to questions on each chapter, Marija Norusis, is the most passive authors I have ever come across. ... Read more

Book Description

This textbook emphasizes the applications of statistics and probability to finance.Students are assumed to have had a prior course in statistics, but no background in finance or economics.The basics of probability and statistics are reviewed and more advanced topics in statistics, such as regression, ARMA and GARCH models, the bootstrap, and nonparametric regression using splines, are introduced as needed.The classical methods of finance such as portfolio theory, CAPM, and the Black-Scholes formula are covered, and there is an introduction to the somewhat newer area of behavioral finance.Applications and use of MATLAB and SAS software are stressed.

The book course serve as a text in courses aimed at advanced undergraduates and masters students in statistics, engineering, and applied mathematics as well as quantitatively oriented MBA students.It could also be used for self-study by those in the finance industry wishing to know more statistics. ... Read more

Book Description

Applied statisticians in many fields frequently analyze time-to-event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics and demography, the focus here is on applications of the techniques to biology and medicine.

The analysis of survival experiments is complicated by issues of censoring and truncation. The use of counting process methodology has allowed for substantial advances in the statistical theory to account for censoring and truncation in survival experiments. This book makes these complex techniques accessible to applied researchers without the advanced mathematical background. The authors present the essentials of these techniques, as well as classical techniques not based on counting processes, and apply them to data.

The second edition contains some new material as well as solutions to the odd-numbered revised exercises. New material consists of a discussion of summary statistics for competing risks probabilities in Chapter 2 and the estimation process for these probabilities in Chapter 4. A new section on tests of the equality of survival curves at a fixed point in time is added in Chapter 7. In Chapter 8 an expanded discussion is presented on how to code covariates and a new section on discretizing a continuous covariate is added. A new section on Lin and Ying's additive hazards regression model is presented in Chapter 10. We now proceed to a general discussion of the usefulness of this book incorporating the new material with that of the first edition. ... Read more

Reviews (7)

Good book of Studying Survival Analysis
In this new edition, most of the errata are corrected and the texts are explained in a more detailed way.

The formulae are correct and the examples are explained in a more direct and expressive way than that in the 1st edition.

The most valuable one is its Theoretical Notes and Practical Notes. They show a lot of different points of views.

A good-buy and must-read for those want to have an intense level in Survival Analysis. Suitable for elementary and intermediate candidates to read and study.

Ian Lauder

A good book of studying Survival Analysis
In this new edition, many errata are corrected and each of the theories has a reason why this is true. Although they may be more practical in view, it is very good to use them to learn Survival Analysis, which is more realistic in sense.

In its Theoretical Notes and Practical Notes, there are a lot of different views and sights to show that which is the best to use. The examples are more or less good one and explained in a more detailed way than that in the 1st edition. A good-buy and must-read for those want to have a thorough view in this aspects. Read them carefully! Better than Cox's in this new edition. Buy and read this new edition!

Good for practitioners, but not for statistician
This book describes formulas and list of applications, but it don't give more accurate statistical reasons. I get how to use the formulas, but i think i am more interested in how to get the formulas

Worst Textbook Ever
I don't want to say hard words, but this is really a completely USELESS book. It says nothing but only presenting tons of lengthy, non-understandable formulas, without a single explanation. Why would people need such a JUNK book?

There are people that need it. It is a prescribed textbook for Society of Actuary course 4 exam. Other than those guys taking this exam, DON'T TOUCH THIS BOOK.

P.S.: Many of those formulas in the books are wrong.

Almost Unreadable
Murphy's Law of College Textbooks: When an author prepares a textbook on a topic he doesn't understand thoroughly, his work will only be understood by those readers who understand more about the topic than the writer . . . thus defeating the prime purpose of writing, which is to inform those who understand less about the topic than the writer.

The above statement applies to this textbook more than to any other that I have ever read in my life. Each chapter reduces to nothing more than an inscrutable collection of formulas. The authors do not provide even the slightest beginning of an insight to a student attempting to learn the material from this text. ... Read more

Book Description

Written in clear and understandable terms, this handbook provides a modern and applied approach to the subject of acceptance sampling and inspection.Loaded with numerous examples and illustrations to guide you, The Handbook of Applied Acceptance Sampling: Plans, Procedures, and Principles helps to make many of the mainstream principles and evaluation tools of this quality method straightforward and easy to understand.

The text is written in a clear, lucid style with numerous examples and illustrations to help guide the reader, student or practitioner in these quality techniques, and to serve as a resource for current knowledge on the subject.Using spreadsheet analyzes and their applications for common acceptance sampling problems (complete with the actual formulas used in the principal cells), the book makes many of the principles and evaluations of acceptance sampling understandable and easy to apply using Excel® spreadsheet software. The bonus CD-ROM is loaded with appendices, problem exercises & solutions, tables, and graphs from the text that can be used beyond the applications in the book – making it an excellent practical guide for the student or quality professional. ... Read more

Book Description

This text successfully integrates statistics and research methods, by placing statistics in the context of research to help students grasp both topics more clearly. Discussions include all major descriptive and experimental methods, as well as primary and secondary statistical procedures.

Certain chapters include a new section, APA Format for Statistical Notation, to help students report findings according to APA guidelines. Pedagogy includes restructured chapter-opening learning goals, a new end-of-chapter Review Questions section, and an increased number of Practice Problems.

Reviews (3)

It serves the purpose.
In the past I have been quite critical regarding the quality of this book. I had found it tedious, overly descriptive, and lacking of significant examples.
In the meanwhile I have been using this book consistently because I needed information and verifications regarding the design of a challenging study. Well, I had to change my mind regarding my doubts and skepticism, and now I feel that I must vote in favor of the book.
Research is not exactly a walk on the beach, and this is certainly not a "beach" book. Research requires lots of patience, and very systematic people willing to devote much of their time for the sake of science. This book should be approached in a similar fashion, and with the intent and will to learn. If the reader establishes such a relation with this textbook, she/he will find most of her/his questions answered.
Aside the above praises, the author should consider to add practical examples to theory. This suggestion could be of great help to students willing to stay focused on a stimulating problem, and without ending up lost somewhere in the middle of the path.

Understanding Research Methods and Statistics
I never thought that I would understand statistics, but this book proved me wrong! The explanations were very detailed and tailored for people who have not previously taken a statistics course. I highly recommend this book, especially for those in the psychology field...

overkill
The material is good, but the author get to involved to soon in the text. It is a must to sort through what information you need and the excess! I do not think that this is a good text for a student new to statistics. Examples are poor and brief. ... Read more

Book Description

It's easier than you think to perform every retail math calculation quickly, accurately, and with confidence

Mathematics is an essential tool for determining every financial arrangement important to a retail business. Whether you're buying merchandise, figuring business expenses, pricing merchandise, or recording transactions, a solid working knowledge of practical calculating procedures is indispensable. But don't worry, we're not talking algebra, trigonometry, or calculus—just simple arithmetic you can perform using a calculator.

Practical Merchandising Math helps you teach yourself all the math you need to succeed in the retail industry. You'll learn to calculate markon, markup, and markdown; plan net sales, purchases, and stock turnover; and determine expenses and gross margin. You'll also learn the meanings of important terms and discover how the four retail areas where math is required—buying, selling, expenses, and record-keeping—are interrelated. This easy-to-use guide

• Covers all financial considerations relevant to costing and pricing merchandise
• Includes sample calculations with solutions
• Features handy, quick-reference charts for standard markon percentages
• Presents material in short sections followed by self-check practice exercises

Don't let math phobia become a roadblock on your way to retail success. Develop the skills you need, quickly and easily, with the help of Practical Merchandising Math. ... Read more

Reviews (1)

Good Book
Practical Merchandising Math is a very enlighting book. The Practice Questions are very helpful in learning the basics. From start to finish I found this book well done. I would only hope for deeper explanations. I devoured this book in about a week. Very well laid out. One chapter leads into another chapter very well. Again, my only hope (not a complaint) is to find a book just like this one with more advanced discussions based on real world scenarios. That's not to say that the examples used in this book were not real world scenarios ... they were simplified examples of real world scenarios. I recommend this book to anyone learning the art of inventory management, ordering systems analysis and planning for sales. ... Read more

Book Description

This is an expanded edition of the author's "Multivariate Statistical Analysis." Twice as long, it includes all the material in that edition, but has a more extensive treatment of introductory methods, especially hypothesis testing, parameter estimation,and experimental design. It also introduces time series analysis, decision analysis, and more advanced probability topics (see the accompanying table of contents).It has been used as a textbook at the graduate level at over 300 leading universities, in over a dozen academic disciplines, including education, business, and the social and health sciences. Like its abridged edition, it has been acclaimed for its lucid treatment of difficult statistical concepts. ... Read more

Reviews (3)

Yo Baby, Sammy is Da' Hoochie Daddy
I just wish he would write a new book and focus it around SPSS. Although the book was published long ago, it is written to those struggling in their Multivariate classes. It is very clear and concise. I could have read this in high school and understood every word. The book is not focused on linear algebra or higher level mathematics. Instead, he provides a clear conceptual understanding of the major techniques. If you read this much, buy the book and read it. I guarentee that in no time you will be asking your prof questions that will boggle his or her mind and you will score you some brownie points. Further, after reading it you will love the subject and study stats naked. Even if you decide not to keep this as a desk reference, you can always sell it to another student and use the cash to buy some beer. After reading this review, I only ask that you write Dr. Sam and tell him to keep writing. Tell him that we will revoke his Visa if he doesn't. I love you SAM. Peace to the world. Long live Dallas, TX! This book helped me earn an A+ in advanced stats in the MBA that I am enrolled in.

Statistical Analysis by Kachigan
This book has an excellent treatment of the various statistical methodologies. It has an easy-to-read treatment of basic probability with a gradual introduction into conditional prob. The coverage of mean, variance, weighted mean and the standard deviation is good. I was impressed with the explanation of the z statistic and hypothesis testing. The author had a good rendition of regression and correlation in single, as well as, multiple models. The style of this work is a belles lettres

treatment-almost akin to reading a story. Despite the simplicity, there is enough complexity for the quantitatively oriented readers. I would like to see an update of this book with some cross-referencing to the internet and more modern terminology. Despite the fact that it is an older work, there are few books which explain the material with the clarity of this text. Its weaknesses may be overcome by utilizing the REA Statistics or the Schaum's outline. This book is excellent for students who find math hard to comprehend. It serves all levels of students from the most advanced to the students requiring more time with the material.

Afraid of Statistics? This book is for you!
This volume is an excellent introduction for someone who needs a conceptual understanding of statistics without the rigor or depth of a specialist. The presention is very non-technical with each new subject carefully developed. Ideal for the general business or social science undergraduate or anyone needing a brief and relatively painless encounter with a vital subject. ... Read more

Book Description

Filling a void for a balanced approach to spreadsheet based decision modeling, this volume builds on the traditions and strengths of Render and Stair's Quantitative Methods for Management, a recognized and proven leader in teaching decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors teach how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations.The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment, and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models.For anyone looking for a balanced approach to spreadsheet based decision modeling. ... Read more

Book Description

The Process of Investigations is co-authored by professionals with broad experience in both private and public sector investigations spanning five decades. Drawing on their extensive experience, the authors have updated and revised all chapters, targetingcorporate executives, shoplifters, organized burglary rings, warehouse thieves, cashiers, workplace drug dealers, and corrupt public officials.

Written for both the student and professional alike, this book compares and contrasts public and private sector enforcers, pinpoints the unique problems facing the investigator in a private agency, and provides updated case studies that illustrate the theories and techniques discussed.

* Practical, timely, and incisive information that can be put to use in real situations
* Two new added chapters on Imagery and Computers
* Easily understood style clearly defines the private sector as an individual investigative arm ... Read more

Reviews (1)

Excellent introduction and reference text
I purchased this book as a study guide for my private investigator's licensing test. The text was very complete in the topics covered and contained excellent examples with real world applications. I easily passed my licensing exam with the knowledge gained from this book. Thank you! ... Read more

Book Description

The main objective of Credit Risk: Modeling, Valuation and Hedging is to present a comprehensive survey of the past developments in the area of credit risk research, as well as to put forth the most recent advancements in this field. An important aspect of this text is that it attempts to bridge the gap between the mathematical theory of credit risk and the financial practice, which serves as the motivation for the mathematical modeling studied in the book. Mathematical developments are presented in a thorough manner and cover the structural (value-of-the-firm) and the reduced (intensity-based) approaches to credit risk modeling, applied both to single and to multiple defaults. In particular, the book offers a detailed study of various arbitrage-free models of defaultable term structures with several rating grades. ... Read more

Reviews (2)

Could have been much better
In summary, this book is a disappointment. It presents a lot of material in an inaccessible way and doesn't provide solid explanations/proofs for a lot of material. It is also largley mathematical as opposed to the far superior 'Martingale methods in finance' by the same author, which takes the time to talk about applications to finance. As a credit derivatives quantitative analyst I was already familiar with the material in the text and that is the only reason why I understood it. It attempts to bridge the gap between theory and practice but in my opnion achieves neither.

Another math book
This is another typical book written by mathematician, and for mathematician. What can one learn from this book? Basically not much. If you don't really know much about credit risk, you still won't know after much after you read the book. If you are a quant, this book definitely won't help you much.

Who might need this book? If you are a mathemtician with research interest in probablity, AND you like the book "Martingale Methods in Financial Markets" by Musiela and Rotkowski, you might want to buy this book. ... Read more

Book Description

This book is designed to reflect the important changes in the pedagogy of statistics brought about by the usage of computers. It takes advantage of the ability of computers to help students understand statistical methods. The book utilizes a straightforward approach and seeks to present computer usage as a tool accompanied by the changes in the practice of statistics.Simplified use of Excel and includes expected value variance of probability distribution, relationship between confidence level and likelihood of an accurate confidence interval. Dynamic use of Excel's graphics utilizes Excel's capabilities to view such topics as probability density function and normal distribution relationships. Cultural value approach is used as an alternate to the vice-versa approach as used by most other booksUseful to any professional who uses quantitative analysis: financial analysts and accountants. ... Read more

Reviews (3)

Excellent book for Graduate Business Students
This is one of the best text books in Business Statistics that I have come across which not only is theoretically excellent but also helps you master Excel. I think this author should seriously think of adding some more chapters like Conjoint analysis so that it is helpful to PhD students like me.
On a whole, an excellent text book for all graduate students. A must for all graduate business students.

One of the best
I think this is one of the best books on this topic available. I have purchased many in an effort to merge statistical knowledge with the Excel application. While Excel is a powerful tool it can be tough to figure out how to harness all that power. It is an expertly written, no-frills book. The author clearly knows how frustrating most of the other Excel books on the market can be so he takes great care to walk you though the steps to success. A one star hit for a few noticeable things missing. One topic I really would like to have seen is creation of boxplots (very tough to do in Excel). A minor issue though because this book is loaded with great infromation and step-by-step approaches.

It is a bit pricey at [$], but I think well worth the price. If you can find it second hand then all the better because there is no data or sample disc included. I usually find the lack of a disc for such an expensive book annoying; however, there is a web site for you to download the data files referenced in the book so everything makes sense. As the title suggests the focus is business statistical applications. Bottom line: great book.

Learning Business Statistics With Microsoft Excel 2000
This is great book that I have ever read. It helps me to solve a lot of problems in my MBA courses. ... Read more

Book Description

Integrated book and CD-ROM package emphasizes the logic of statistical procedures, fundamental concepts, and application of quantitative techniques to statistical problems. Every book is packaged with a free CD-ROM featuring Activities and Problem Generators that reinforce the key concepts that are most difficult for students. Users actively participate in experiments by directly manipulating data points and varying numerical values, and by observing real-time changes to graphs and equations. Sets of questions structure exploration. Problem Generators provide a wide variety of problems with worked solutions, helping students develop confidence in statistical analysis. Annotated icons link text content with practice opportunities on the CD. This CD-ROM is not a computational tool such as SPSS, but provides a learning environment for exploration and application of key concepts. For anyone who needs experience in statistical analysis for the social sciences. ... Read more

Reviews (1)

As a class room text
I have been associated with using this book in a class room setting.The level of statistics is Ph.D and overall the class thought the book was written at a depth that was appropriate, but was written in such a way that it was not only hard to read but did not explain itselfin a logical means.The instructor often had to apologize for the short comings found in the book.
A revision in in need. ... Read more