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An Introduction to Statistical Inference and Its Applications with R (Chapman & Hall/CRC Texts in Statistical Science)

Michael W. Trosset




[PDF.xf89] An Introduction to Statistical Inference and Its Applications with R (Chapman & Hall/CRC Texts in Statistical Science)

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 | #739489 in Books |  Chapman and Hall/CRC |  2009-06-23 | Original language:English | PDF # 1 |  9.25 x6.50 x1.00l,.0 | File type: PDF | 496 pages

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||0 of 0 people found the following review helpful.| Great book overall --needs next edition!|By Ariss McKalynn|Trosset does a great job introducing the student to r and statistics.

Great first text for stats and r programming for stats. My only issue is with his wording/some of his problems. What the author is attempting to teach is sometimes unclear, as is what he is asking the student to do. I used this in a course|About the Author||Michael W. Trosset is Professor of Statistics and Director of the Indiana Statistical Consulting Center at Indiana University.

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures, and draw pseudorandom samples―not to perform entire analyses.

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You can specify the type of files you want, for your gadget.An Introduction to Statistical Inference and Its Applications with R (Chapman & Hall/CRC Texts in Statistical Science)   |  Michael W. Trosset. I really enjoyed this book and have already told so many people about it!

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