Applied Regularization Methods for the Social Sciences - Couverture souple

Finch, Holmes

 
9781032209470: Applied Regularization Methods for the Social Sciences

Synopsis

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, this book provides and overview of a variety of models alongside clear examples of hands-on application.

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À propos de l?auteur

Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology at BSU, and a professor of statistics and psychometrics. His research interests include structural equation modeling, item response theory, educational and psychological measurement, multilevel modeling, machine learning, and robust multivariate inference. In addition to conducting research in the field of statistics, he also regularly collaborates with colleagues in fields such as educational psychology, neuropsychology, and exercise physiology.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9780367408787: Applied Regularization Methods for the Social Sciences

Edition présentée

ISBN 10 :  0367408783 ISBN 13 :  9780367408787
Editeur : Chapman and Hall/CRC, 2022
Couverture rigide