Literaturnachweis - Detailanzeige
Autor/in | Doran, Harold |
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Titel | A Collection of Numerical Recipes Useful for Building Scalable Psychometric Applications |
Quelle | In: Journal of Educational and Behavioral Statistics, 48 (2023) 1, S.37-69 (33 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1076-9986 |
DOI | 10.3102/10769986221116905 |
Schlagwörter | Scaling; Algorithms; Psychometrics; Computation; Statistical Analysis; Correlation; Models; Maximum Likelihood Statistics |
Abstract | This article is concerned with a subset of numerically stable and scalable algorithms useful to support computationally complex psychometric models in the era of machine learning and massive data. The subset selected here is a core set of numerical methods that should be familiar to computational psychometricians and considers whitening transforms for dealing with correlated data, computational concepts for linear models, multivariable integration, and optimization techniques. (As Provided). |
Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |