Applied regularization methods for the social sciences / (Record no. 38188)

000 -LEADER
fixed length control field 01676cam a22002418i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781032209470
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 300.15
Item number FIN-A
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name Finch, W. Holmes
Fuller form of name (William Holmes),
Relator term author.
245 10 - TITLE STATEMENT
Title Applied regularization methods for the social sciences /
Statement of responsibility, etc Holmes Finch.
250 ## - EDITION STATEMENT
Edition statement First edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Boca Raton :
Name of publisher CRC,
Year of publication 2022.
300 ## - PHYSICAL DESCRIPTION
Number of Pages vii, 297p.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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 ## - SUMMARY, ETC.
Summary, etc "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"--
546 ## - LANGUAGE NOTE
Language note English.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Social sciences
General subdivision Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Big data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term R (Computer program language)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Price effective from Koha item type
        NASSDOC Library NASSDOC Library 2023-03-16 Overseas Press India Private Limited 0.00 300.15 FIN-A 52812 0.00 2023-07-20 Books