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Applied regularization methods for the social sciences

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied regularization methods for the social sciences/ Holmes Finch.
Author:	Finch, W. Holmes
Published:	Boca Raton, FL :CRC Press, : 2022.,
Description:	1 online resource.
[NT 15003449]:	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.
Subject:	Social sciences - Statistical methods. -
Online resource:	https://www.taylorfrancis.com/books/9780367809645
ISBN:	9780367809645

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

LCCN: 2021048065Subjects--Topical Terms:

529420
Social sciences
--Statistical methods.

LC Class. No.: HA29

Dewey Class. No.: 300.1/5

Applied regularization methods for the social sciences
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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.
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650 0 $a Mathematical statistics. $3 516858
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830 0 $a Chapman & Hall/CRC, statistics in the social and behavioral sciences ceries. $3 3720528
856 4 0 $u https://www.taylorfrancis.com/books/9780367809645