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An Introduction to Statistical Inference and Its Applications with R (Chapman & Hall/CRC Texts in Statistical Science)
Michael W. Trosset
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Description for An Introduction to Statistical Inference and Its Applications with R (Chapman & Hall/CRC Texts in Statistical Science)
Hardcover. Explains how statistical methods are used for data analysis and uses the elementary functions of R to perform the individual steps of statistical procedures. This title introduces basic concepts of inference through a study of several important procedures, including parametric and nonparametric methods, analysis of variance, and regression. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 496 pages, 72 black & white illustrations, 30 black & white tables. BIC Classification: PBT. Category: (UU) Undergraduate. Dimension: 238 x 156 x 29. Weight in Grams: 884.
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. After discussing the importance of chance in experimentation, the text develops basic tools of probability. The plug-in principle then provides a transition from populations to samples, motivating a variety of summary statistics ... Read more
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. After discussing the importance of chance in experimentation, the text develops basic tools of probability. The plug-in principle then provides a transition from populations to samples, motivating a variety of summary statistics ... Read more
Product Details
Publisher
Chapman and Hall/CRC
Format
Hardback
Publication date
2009
Series
Chapman & Hall/CRC Texts in Statistical Science
Condition
New
Number of Pages
496
Place of Publication
, United States
ISBN
9781584889472
SKU
V9781584889472
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-19
About Michael W. Trosset
Michael W. Trosset is Professor of Statistics and Director of the Indiana Statistical Consulting Center at Indiana University.
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