Applied Regularization Methods for the Social Sciences (ePub)
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Holmes Finch
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.
Bibliographische Angaben
- Autor: Holmes Finch
- 2022, 1. Auflage, 305 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000548228
- ISBN-13: 9781000548228
- Erscheinungsdatum: 08.03.2022
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eBook Informationen
- Dateiformat: ePub
- Größe: 5.86 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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