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Understanding Advanced Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science) - Hardcover
Synopsis
Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian methods. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors. It leads them to think differently not only about math and...
About the Author
Peter H. Westfall is the Paul Whitfield Horn Professor of Statistics and James Niver Professor of Information Systems and Quantitative Sciences at Texas Tech University. A Fellow of the ASA and the AAAS, Dr. Westfall has published several books and over 100 papers on statistical theory and methods. He also has won several teaching awards and is the former editor of The American Statistician. He earned a PhD...
Review
"This nicely written textbook fills the gap between elementary statistics courses and more advanced research methods courses. The book helps one to grasp the key assumptions and machinery behind advanced statistical topics ... Each chapter ends with useful exercises."
―Mathematical Reviews, August 2014
"... full of interesting insights and excellent examples and explanations for essential basic statistical concepts. The use of thought experiments; the detailed algebraic developments of proofs; and the...
"About this title" may belong to another edition of this title.
- PublisherChapman and Hall/CRC
- Publication date2013
- ISBN 10 1466512105
- ISBN 13 9781466512108
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages569
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Understanding Advanced Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
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Chapman and Hall/CRC 2013-05-10, 2013
ISBN 10: 1466512105
ISBN 13: 9781466512108
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