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An introduction to statistical infer...

Trosset, Michael W.

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An introduction to statistical inference and its applications with R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An introduction to statistical inference and its applications with R // Michael W. Trosset.
Author:	Trosset, Michael W.
Published:	Boca Raton :CRC Press, : c2009.,
Description:	xxvii, 467 p. :ill. ;25 cm.
Notes:	"A Chapman & Hall book."
Subject:	Mathematical statistics. -
ISBN:	9781584889472 (hbk.) :

An introduction to statistical inference and its applications with R /
Trosset, Michael W.

An introduction to statistical inference and its applications with R /Michael W. Trosset. - Boca Raton :CRC Press,c2009. - xxvii, 467 p. :ill. ;25 cm. - Chapman & Hall/CRC texts in statistical science series. - Texts in statistical science..

"A Chapman & Hall book."

Includes bibliographical references and index.

"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.

ISBN: 9781584889472 (hbk.) :UK53.99Subjects--Topical Terms:

516858
Mathematical statistics.

LC Class. No.: QA276 / .T756 2009

Dewey Class. No.: 519.5/4

An introduction to statistical inference and its applications with R /
LDR:01750cam a2200217 a 4500 001 1267278
003 OCoLC
005 20120902212128.0
008 120907s2009 flua b 001 0 eng d
020 $a 9781584889472 (hbk.) : $c UK53.99
020 $a 1584889470 (hbk.)
035 $a AS-BW-101-04
040 $a DLC $b eng
050 0 0 $a QA276 $b .T756 2009
082 0 0 $a 519.5/4 $2 22
100 1 $a Trosset, Michael W. $q (Michael William) $3 1535333
245 1 0 $a An introduction to statistical inference and its applications with R / $c Michael W. Trosset.
260 # $a Boca Raton : $b CRC Press, $c c2009.
300 $a xxvii, 467 p. : $b ill. ; $c 25 cm.
490 1 0 $a Chapman & Hall/CRC texts in statistical science series
500 $a "A Chapman & Hall book."
504 $a Includes bibliographical references and index.
520 # $a "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.
650 # 0 $a Mathematical statistics. $3 516858
650 # 0 $a Probabilities. $3 518889
650 # 0 $a R (Computer program language) $3 784593
830 0 $a Texts in statistical science. $3 582234