Latent variable models comprise an important branch of multivariate analysis. In particular, they are used to create a framework for reducing data from large scale statistical enquiries to manageable proportions. Factor analysis, a key latent variable model, has been effectively applied to problems in sociology, geology, chemistry, and psychology. This book provides a latent-variable framework for psychometricians and statisticians in their specification and use of suitable research models. Several chapters explore fields where the data are categorical and the latent variables are metrical.
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Da: Chequamegon Books, Washburn, WI, U.S.A.
Hardcover. Griffin's Statistical Monographs Courses, Monograph No. 40. Ex-library book with the usual markings. 193 pages.; Ex-Library; 5 1/2 x 8 3/4" Very Good in Very Good+ dust jacket. Codice articolo 94817
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