Verfasst von:	Finch, W. Holmes [VerfasserIn]
Titel:	Applied regularization methods for the social sciences
Verf.angabe:	Holmes Finch
Ausgabe:	First edition
Verlagsort:	Boca Raton
Verlag:	CRC Press, Taylor & Francis Group
Jahr:	2022
Umfang:	vii, 297 Seiten
Illustrationen:	Diagramme
Gesamttitel/Reihe:	Chapman & Hall/CRC statistics in the social and behavioral sciences
Fussnoten:	Includes bibliographical references and index
ISBN:	978-0-367-40878-7
	978-1-032-20947-0
Abstract:	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"--
DOI:	doi:10.1201/9780367809645
URL:	DOI: https://doi.org/10.1201/9780367809645
Schlagwörter:	(s)Empirische Sozialforschung    / (s)Explorative Datenanalyse    / (s)Statistik
Sprache:	eng
Bibliogr. Hinweis:	Erscheint auch als : Online-Ausgabe: Finch, Holmes: Applied regularization methods for the social sciences. - Milton : CRC Press LLC, 2022. - 1 Online-Ressource (307 Seiten)
K10plus-PPN:	1784597708