An Introduction to Latent Variable Models / B. S. Everitt
| An Introduction to Latent Variable Models / B. S. Everitt |
| Autore | Everitt, Brian S. |
| Pubbl/distr/stampa | London, : Chapman & Hall, 1984 |
| Descrizione fisica | viii, 108 p. ; 24 cm |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62-XX - Statistics [MSC 2020] 62H05 - Characterization and structure theory for multivariate probability distributions; copulas [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62P15 - Applications of statistics to psychology [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] |
| Soggetto non controllato |
Factor analysis
Latent Variable Models Parameter latent variable |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0266248 |
Everitt, Brian S.
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| London, : Chapman & Hall, 1984 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An Introduction to Latent Variable Models / B. S. Everitt
| An Introduction to Latent Variable Models / B. S. Everitt |
| Autore | Everitt, Brian S. |
| Pubbl/distr/stampa | London, : Chapman & Hall, 1984 |
| Descrizione fisica | viii, 108 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H05 - Characterization and structure theory for multivariate probability distributions; copulas [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62P15 - Applications of statistics to psychology [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] |
| Soggetto non controllato |
Factor analysis
Latent Variable Models Parameter latent variable |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00266248 |
Everitt, Brian S.
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| London, : Chapman & Hall, 1984 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Discretization and MCMC Convergence Assessment / Christian P. Robert (Editor)
| Discretization and MCMC Convergence Assessment / Christian P. Robert (Editor) |
| Pubbl/distr/stampa | New York [etc.], : Springer, 1998 |
| Descrizione fisica | x, 192 p. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 65C05 - Monte Carlo methods [MSC 2020] 65C40 - Numerical analysis or methods applied to Markov chains [MSC 2020] |
| Soggetto non controllato |
Algorithms
Latent Variable Models Markov Chains Markov Models Renewal theory Statistics Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00298480 |
| New York [etc.], : Springer, 1998 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Latent Variable Modeling and Applications to Causality / Maia Berkane editor
| Latent Variable Modeling and Applications to Causality / Maia Berkane editor |
| Pubbl/distr/stampa | New York, : Springer, 1997 |
| Descrizione fisica | 281 p. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Best fits
Correlations Estimator Expectation–maximization algorithms Factor analysis Fitting Latent Variable Models Likelihood |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00297779 |
| New York, : Springer, 1997 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Modern Psychometrics with R / Patrick Mair
| Modern Psychometrics with R / Patrick Mair |
| Autore | Mair, Patrick |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xiii, 458 p. : ill. ; 24 cm |
| Soggetto topico |
92C55 - Biomedical imaging and signal processing [MSC 2020]
62-XX - Statistics [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 68N15 - Theory of programming languages [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62P15 - Applications of statistics to psychology [MSC 2020] 91E45 - Measurement and performance in psychology [MSC 2020] |
| Soggetto non controllato |
Cluster analysis
Functional data analysis Latent Variable Models Methods of Scaling Multivariate methods in the social sciences Psychometrics R for Social Sciences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124874 |
Mair, Patrick
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| Cham, : Springer, 2018 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Modern Psychometrics with R / Patrick Mair
| Modern Psychometrics with R / Patrick Mair |
| Autore | Mair, Patrick |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xiii, 458 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62P15 - Applications of statistics to psychology [MSC 2020] 68N15 - Theory of programming languages [MSC 2020] 91E45 - Measurement and performance in psychology [MSC 2020] 92C55 - Biomedical imaging and signal processing [MSC 2020] |
| Soggetto non controllato |
Cluster analysis
Functional data analysis Latent Variable Models Methods of Scaling Multivariate methods in the social sciences Psychometrics R for Social Sciences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124874 |
Mair, Patrick
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| Cham, : Springer, 2018 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Reduced Rank Regression : With Applications to Quantitative Structure-Activity Relationships / Heinz Schmidli
| Reduced Rank Regression : With Applications to Quantitative Structure-Activity Relationships / Heinz Schmidli |
| Autore | Schmidli, Heinz |
| Pubbl/distr/stampa | Heidelberg, : Physica-Verlag, 1995 |
| Descrizione fisica | x, 179 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Correlation
Covariance matrix Latent Variable Models Likelihood Multivariate Analysis Principal component analysis Regression analysis Regression models Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00294003 |
Schmidli, Heinz
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| Heidelberg, : Physica-Verlag, 1995 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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