- Hardcover: 249 pages
- Publisher: Springer; 2nd ed. 2010 edition (March 18, 2010)
- Language: English
- ISBN-10: 1441955240
- ISBN-13: 978-1441955241
- Product Dimensions: 6.1 x 0.6 x 9.2 inches
- Shipping Weight: 1.4 pounds (View shipping rates and policies)
- Average Customer Review: 5.0 out of 5 stars See all reviews (6 customer reviews)
- Amazon Best Sellers Rank: #1,226,428 in Books (See Top 100 in Books)
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Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy 2nd ed. 2010 Edition
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From the reviews of the second edition:
“It is a well-written and neatly organized book that introduces modern robust statistical methods … . the book not only a handbook for applied researchers who need to conduct reasonable and interpretable data analysis, but also a good textbook for non-statistics students and statistics undergraduate students. This is the only book on the subject written for this audience to my knowledge. … It provides insights and more methodological options in statistical analysis for students and applied researchers.” (Tian Siva Tian, Psychometrika, Vol. 76 (1), January, 2011)
From the Back Cover
Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods.
Without assuming the reader has any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research.
The second edition of this book includes a number of advances and insights that have occurred since the first edition appeared. Included are new results relevant to medians, regression, measures of association, strategies for comparing dependent groups, methods for dealing with heteroscedasticity, and measures of effect size.
Rand Wilcox is a professor of psychology at the University of Southern California. He is a fellow of the Royal Statistical Society and the Association for Psychological Science. Dr. Wilcox currently serves as an associate editor of Computational Statistics & Data Analysis, Communications in Statistics: Theory and Methods, Communications in Statistics: Simulation and Computation, and Psychometrika. He has published more than 280 articles in a wide range of statistical journals and he is the author of six other books on statistics.
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Top customer reviews
1) Providing a maximally self-contained text on statistics
2) Covering the material that most such texts do, but only to introduce vastly superior methods that are largely unknown even by a majority of researches across many sciences.
The textbook's organization couldn't be better. First, it is divided into two parts. The first covers standard statistical methods and tests, but does so not just to explain them but to demonstrate concisely and intuitively how they are superior to methods that are mostly equally simple. Part two introduces robust methods that are unfortunately little known compared to those used by most researchers and taught to most students in the sciences.
The supremely excellent organization of this text, though, doesn't stop at this macro level. Every chapter includes a summary of key points, and almost every chapter include a bibliography of recommended texts that everyone who works with statistics should be familiar with.
Providing a minimal familiarity with mathematics, there quite simply isn't any introductory statistic that compares. Not only does this text cover the standard introductory statistics one would find in any other such text, and not only does this coverage include much needed criticisms, but it also provides the student with powerful, robust methods that are elementary but not included in any other textbook for introductory statistics.
Even more remarkable, many graduate level statistics textbooks fail to provide either such easily followed explanations underlying statistical methods or cover robust statistics that are superior and usually far simpler to many of those graduate researchers learn.
I have spent years teaching and tutoring high school, undergraduate, and graduate students in statistics. I've used (whether I was required to or not), dozens and dozens of textbooks, and reviewed far more. This is quite simply the best textbook in its class.
It was an 'open-minder' book, and I strongly recommended it!
Thanks to the age of the computer, statistics has undergone a major revolution in recent decades, and new theories have continued to be developed on how to read and interpret data, and make inferences and conclusions about significant differences.
The book, thankfully, is easy to read and understand, unlike some uncomprehensible texts that I've plowed through in the past, which only served to confuse me further. "Fundamentals", on the other hand, provides the reader with a sound revising of the basic underlying principles of statistics, the assumptions people have been making for centuries and step-by-step addresses why those assumptions can be flawed in certain circumstances.
The text takes you through easy to understand examples of each applied statistical method and, in addition, offers a basic overview at the end of each chapter of the key points raised (for a quick review just before class, or in case you forgot some previous points).
The book covers a whole host of different statistical methods and in part 2, some alternative strategies of dealing with traditional problems.
All in all, enlightening and fills you with the smug satisfactory feeling of having "one-up" on the statisticians by understanding what it's really all about.