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Circular statistics in R /

Neuhäuser, Markus.

Circular statistics in R /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Circular statistics in R /Arthur Pewsey, Markus Neuhäuser, Graeme D. Ruxton.
作者:	Pewsey, Arthur.
其他作者:	Neuhäuser, Markus.
出版者:	Oxford ;Oxford University Press,2013.
面頁冊數:	xiv, 183 p. :ill. ;24 cm.
標題:	Circular data.
電子資源:	http://www.loc.gov/catdir/enhancements/fy1410/2013940576-t.html
電子資源:	http://www.loc.gov/catdir/enhancements/fy1410/2013940576-b.html
電子資源:	http://www.loc.gov/catdir/enhancements/fy1410/2013940576-d.html
ISBN:	0199671133 (pbk.) :

Circular statistics in R /
Pewsey, Arthur.

Circular statistics in R /Arthur Pewsey, Markus Neuhäuser, Graeme D. Ruxton. - 1st ed. - Oxford ;Oxford University Press,2013. - xiv, 183 p. :ill. ;24 cm.

Includes bibliographical references (p. 173-178) and index.

Introduction -- Graphical representation of circular data -- Circular summary statistics -- Distribution theory and models for circular random variables -- Basic inference for a single sample -- Model fitting for a single sample -- Comparing two or more samples of circular data -- Correlation and regression.

"Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts, both from angular observations, and from daily or seasonal activity patterns. ... The natural way of representing such data graphically is as points located around the circumference of a circle, hence their name. Importantly, circular variables are periodic in nature, and the origin, or zero point, such as the beginning of a new year, is defined arbitrarily rather than necessarily emerging naturally from the system.

ISBN: 0199671133 (pbk.) :NT$1115

LCCN: 2013940576Subjects--Topical Terms:

603571
Circular data.

LC Class. No.: QA276 / .P45 2013

Dewey Class. No.: 519.5

Circular statistics in R /
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010 $a 2013940576
020 $a 0199671133 (pbk.) : $c NT$1115
020 $a 9780199671137 (pbk.)
035 $a (OCoLC)ocn865566482
035 $a 17741205
040 $a DLC $b eng $c CUD $d OCLCO $d IAD $d IXA $d ORU $d IPL $d IAD $d UWW $d BTCTA $d YDXCP $d BDX $d DLC
042 $a lccopycat
050 4 $a QA276 $b .P45 2013
082 0 4 $a 519.5 $2 23
100 1 $a Pewsey, Arthur. $3 669485
245 1 0 $a Circular statistics in R / $c Arthur Pewsey, Markus Neuhäuser, Graeme D. Ruxton.
250 $a 1st ed.
260 $a Oxford ; $a New York : $b Oxford University Press, $c 2013.
300 $a xiv, 183 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references (p. 173-178) and index.
505 0 $a Introduction -- Graphical representation of circular data -- Circular summary statistics -- Distribution theory and models for circular random variables -- Basic inference for a single sample -- Model fitting for a single sample -- Comparing two or more samples of circular data -- Correlation and regression.
520 $a "Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts, both from angular observations, and from daily or seasonal activity patterns. ... The natural way of representing such data graphically is as points located around the circumference of a circle, hence their name. Importantly, circular variables are periodic in nature, and the origin, or zero point, such as the beginning of a new year, is defined arbitrarily rather than necessarily emerging naturally from the system.
520 8 $a "The use of likelihood-based and computer-intensive approaches to inference and modelling are stressed throughout the book. The R programming language is used to implement the methodology. Also provided are over 150 new functions for techniques not already covered in R."--Back cover.
520 8 $a "This book will be of value both to those new to circular data analysis as well as those more familiar with the field. For beginners, the authors start by considering the fundamental graphical and numerical summaries used to represent circular data before introducing distributions that might be used to model them. When discussing model fitting, the authors advocate reduced reliance on the classical von Mises distribution, showcasing distributions that are capable of modelling features such as asymmetry and varying levels of kurtosis that are often exhibited by circular data.
650 0 $a Circular data. $3 603571
650 0 $a Mathematical statistics. $3 181877
650 0 $a R (Computer program language) $3 210846
700 1 $a Neuhäuser, Markus. $3 669486
700 1 $a Ruxton, Graeme D. $3 267353
856 4 1 $3 Table of contents only $u http://www.loc.gov/catdir/enhancements/fy1410/2013940576-t.html
856 4 2 $3 Contributor biographical information $u http://www.loc.gov/catdir/enhancements/fy1410/2013940576-b.html
856 4 2 $3 Publisher description $u http://www.loc.gov/catdir/enhancements/fy1410/2013940576-d.html

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http://www.loc.gov/catdir/enhancements/fy1410/2013940576-t.html
http://www.loc.gov/catdir/enhancements/fy1410/2013940576-b.html
http://www.loc.gov/catdir/enhancements/fy1410/2013940576-d.html

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