عنوان

An introduction to statistical inference and its applications with R /

(Number (ISBN

1584889470 (hard back : alk. paper)

(Number (ISBN

9781584889472 (hard back : alk. paper)

Number

dltt

Title Proper

An introduction to statistical inference and its applications with R /

General Material Designation

[Book]

First Statement of Responsibility

Michael W. Trosset.

Place of Publication, Distribution, etc.

Boca Raton :

Name of Publisher, Distributor, etc.

CRC Press,

Date of Publication, Distribution, etc.

c2009.

Specific Material Designation and Extent of Item

xxvii, 467 p. :

Other Physical Details

ill. ;

Dimensions

25 cm.

Series Title

Chapman & Hall/CRC texts in statistical science series

Text of Note

"A Chapman & Hall book."

Text of Note

Includes bibliographical references and index.

Text of Note

Experiments -- Mathematical preliminaries -- Probability -- Discrete random variables -- Continuous random variables -- Quantifying population attributes -- Data -- Lots of data -- Inference -- 1-sample location problems -- 2-sample location problems -- The analysis of variance -- Goodness-of-fit -- Association -- Simple linear regression -- Simulation-based inference.

0

Text of Note

"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 and diagnostic techniques. The heart of the text is a careful exposition of point estimation, hypothesis testing, and confidence intervals. The author then explains procedures for 1- and 2-sample location problems, analysis of variance, goodness-of-fit, and correlation and regression. He concludes by discussing the role of simulation in modern statistical inference."--Publisher's description.

Mathematical statistics.

Probabilities.

R (Computer program language)

Class number

Book number

Trosset, Michael W., (Michael William)

Date of Transaction

20100603162315.0

Electronic name

[Book]

Y