Applied Regularization Methods for the Social Sciences
Author:   Holmes Finch
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367408787


Pages:   297
Publication Date:   21 March 2022
Format:   Hardback
Availability:   In Print   Availability explained
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Applied Regularization Methods for the Social Sciences


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Full Product Details

Author:   Holmes Finch
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.625kg
ISBN:  

9780367408787


ISBN 10:   0367408783
Pages:   297
Publication Date:   21 March 2022
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction. 2. Theoretical underpinnings of regularization methods. 3. Regularization methods for linear models. 4. Regularization methods for generalized linear models. 5. Regularization methods for multivariate linear models. 6. Regularization methods for cluster analysis and principal components analysis. 7. Regularization methods for latent variable models. 8. Regularization methods for multilevel models. 9. Advanced topics in feature selection.

Reviews

"""The book can be useful to students, instructors, practitioners, and researchers not only in social studies but any areas requiring regularization techniques in application of multivariate statistics to high dimensional data."" Stan Lipovetsky, Minneapolis, USA, Technometrics, August 2022"


""The book can be useful to students, instructors, practitioners, and researchers not only in social studies but any areas requiring regularization techniques in application of multivariate statistics to high dimensional data."" Stan Lipovetsky, Minneapolis, USA, Technometrics, August 2022


The book can be useful to students, instructors, practitioners, and researchers not only in social studies but any areas requiring regularization techniques in application of multivariate statistics to high dimensional data. Stan Lipovetsky, Minneapolis, USA, Technometrics, August 2022


Author Information

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.

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