Applied regularization methods for the social sciences / Holmes Finch.
By: Finch, W. Holmes (William Holmes) [author.].
Publisher: Boca Raton : CRC, 2022Edition: First edition.Description: vii, 297p.ISBN: 9781032209470.Subject(s): Social sciences -- Statistical methods | Big data | Mathematical statistics | R (Computer program language)DDC classification: 300.15| Item type | Current location | Call number | Status | Date due | Barcode |
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NASSDOC Library | 300.15 FIN-A (Browse shelf) | Available | 52812 |
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| 300.1223 ELL-I Introduction to contemporary social theory / | 300.14 HOD-A Analyzing documentary accounts | 300.14 WEB-B Basic content analysis | 300.15 FIN-A Applied regularization methods for the social sciences / | 300.151 BAR-; Stochastic models for social processes | 300.151 BAR-; Stochastic models for social processes | 300.151 BAR-; RBOOKB Simple models of group behavior |
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"--
English.
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