國立高雄大學圖資館 |

Language: English

Back

Applied regularization methods for the social sciences

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied regularization methods for the social sciencesHolmes Finch.
Author:	Finch, W. Holmes
Published:	Boca Raton, FL :CRC Press,2022.
Description:	1 online resource.
Subject:	Social sciencesStatistical methods.
Online resource:	https://www.taylorfrancis.com/books/9780367809645
ISBN:	9780367809645$q(electronic bk.)

Applied regularization methods for the social sciences
Finch, W. Holmes

Applied regularization methods for the social sciences[electronic resource] /Holmes Finch. - 1st ed. - Boca Raton, FL :CRC Press,2022. - 1 online resource. - Chapman & Hall/CRC, statistics in the social and behavioral sciences ceries. - Chapman & Hall/CRC, statistics in the social and behavioral sciences ceries..

Includes bibliographical references and index.

R -- Theoretical underpinnings of regularization methods -- Regularization methods for linear models -- Regularization methods for generalized linear models -- Regularization methods for multivariate linear models -- Regularization methods for cluster analysis and principal components analysis -- Regularization methods for latent variable models -- Regularization methods for multilevel models.

"Researchers in the social sciences are faced with complex data sets in which they have relatively small samples and many variables (high dimensional data). Unlike the various technical guides currently on the market, Applied Regularization Methods for the Social Sciences provides and overview of a variety of models alongside clear examples of hands-on application. Each chapter in this book covers a specific application of regularization techniques with a user-friendly technical description, followed by examples that provide a thorough demonstration of the methods in action"--

ISBN: 9780367809645$q(electronic bk.)

LCCN: 2021048065Subjects--Topical Terms:

182009
Social sciences
--Statistical methods.

LC Class. No.: HA29

Dewey Class. No.: 300.1/5

Applied regularization methods for the social sciences
LDR:02020cmm a2200301 a 4500 001 664012
005 20240923072503.0
006 m o d
007 cr cnu---unuuu
008 241219s2022 flu ob 001 0 eng
010 $a 2021048065
020 $a 9780367809645$q(electronic bk.)
020 $z 9780367408787$q(hardback)
020 $z 9781032209470$q(paperback)
035 $a 22369293
040 $a DLC $b eng $c DLC $d DLC
041 0 $a eng
050 0 0 $a HA29
082 0 0 $a 300.1/5 $2 23
100 1 $a Finch, W. Holmes $q (William Holmes) $3 709116
245 1 0 $a Applied regularization methods for the social sciences $h [electronic resource] / $c Holmes Finch.
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c 2022.
300 $a 1 online resource.
490 1 $a Chapman & Hall/CRC, statistics in the social and behavioral sciences ceries
504 $a Includes bibliographical references and index.
505 0 $a R -- Theoretical underpinnings of regularization methods -- Regularization methods for linear models -- Regularization methods for generalized linear models -- Regularization methods for multivariate linear models -- Regularization methods for cluster analysis and principal components analysis -- Regularization methods for latent variable models -- Regularization methods for multilevel models.
520 $a "Researchers in the social sciences are faced with complex data sets in which they have relatively small samples and many variables (high dimensional data). Unlike the various technical guides currently on the market, Applied Regularization Methods for the Social Sciences provides and overview of a variety of models alongside clear examples of hands-on application. Each chapter in this book covers a specific application of regularization techniques with a user-friendly technical description, followed by examples that provide a thorough demonstration of the methods in action"-- $c Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher.
650 0 $a Social sciences $x Statistical methods. $3 182009
650 0 $a Big data. $3 609582
650 0 $a Mathematical statistics. $3 181877
650 0 $a R (Computer program language) $3 210846
830 0 $a Chapman & Hall/CRC, statistics in the social and behavioral sciences ceries. $3 976588
856 4 0 $u https://www.taylorfrancis.com/books/9780367809645