Applied Regularization Methods for the Social Sciences - Rilegato

Finch, Holmes

 
9780367408787: Applied Regularization Methods for the Social Sciences
Rilegato
ISBN 10: 0367408783 ISBN 13: 9780367408787
Casa editrice: Chapman and Hall/CRC, 2022

Sinossi

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.

Key Features:

  • Description of regularization methods in a user friendly and easy to read manner
  • Inclusion of regularization-based approaches for a variety of statistical analyses commonly used in the social sciences, including both univariate and multivariate models
  • Fully developed extended examples using multiple software packages, including R, SAS, and SPSS
  • Website containing all datasets and software scripts used in the examples
  • Inclusion of both frequentist and Bayesian regularization approaches
  • Application exercises for each chapter that instructors could use in class, and independent researchers could use to practice what they have learned from the book

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Chapman and Hall/CRC
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
0367408783
ISBN 13 
9780367408787
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
306
Contatto del produttore
non disponibile
Persona responsabile
non disponibile

Altre edizioni note dello stesso titolo

9781032209470: Applied Regularization Methods for the Social Sciences

Edizione in evidenza

ISBN 10:  103220947X ISBN 13:  9781032209470
Casa editrice: Chapman and Hall/CRC, 2024
Brossura