Latent variable models and factor analysis /
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...
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| Hlavní autor: | |
|---|---|
| Format: | Kniha |
| Jazyk: | angličtina |
| Published: |
London : New York :
C. Griffin ; Oxford University Press,
1987.
|
| Edice: | Griffin's statistical monographs & courses ;
no. 40. |
| Témata: | |
| Shrnutí: | 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. -- Publisher description. |
MARC
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| 245 | 1 | 0 | |a Latent variable models and factor analysis / |c D.J. Bartholomew. |
| 264 | 1 | |a London : |b C. Griffin ; |a New York : |b Oxford University Press, |c 1987. | |
| 300 | |a x, 193 pages : |b illustrations ; |c 23 cm. | ||
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| 490 | 1 | |a Monograph ; |v no. 40 | |
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| 504 | |a Includes bibliographical references (pages 178-187) and index. | ||
| 505 | 0 | |a Machine derived contents note: 1. Basic Ideas -- 2. Latent Class Models -- 3. The Linear Factor Model -- 4. Foundations -- 5. Models for Binary Data -- 6. Methods for Binary Data -- 7. Models for Polytomous Data -- 8. Methods for Polytomous Data -- 9. Examples of the Analysis of Categorical Data. | |
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