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Multivariate Reduced-Rank Regression : Theory, Methods and Applications / Gregory C. Reinsel, Raja P. Velu, Kun Chen
Multivariate Reduced-Rank Regression : Theory, Methods and Applications / Gregory C. Reinsel, Raja P. Velu, Kun Chen
Autore Reinsel, Gregory C.
Edizione [2. ed]
Pubbl/distr/stampa New York, : Springer, 2022
Descrizione fisica xxi, 411 p. : ill. ; 24 cm
Altri autori (Persone) Chen, Kun
Velu, Raja P.
Soggetto non controllato Generalized reduced-rank regression
High-dimensional reduced-rank regression
Low-rank regression methods
Mixed data
Multivariate Analysis
Non-Gaussian
Sparse regression methods
Tensor data
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0278540
Reinsel, Gregory C.  
New York, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Multivariate Reduced-Rank Regression : Theory, Methods and Applications / Gregory C. Reinsel, Raja P. Velu, Kun Chen
Multivariate Reduced-Rank Regression : Theory, Methods and Applications / Gregory C. Reinsel, Raja P. Velu, Kun Chen
Autore Reinsel, Gregory C.
Edizione [2. ed]
Pubbl/distr/stampa New York, : Springer, 2022
Descrizione fisica xxi, 411 p. : ill. ; 24 cm
Altri autori (Persone) Chen, Kun
Velu, Raja P.
Soggetto topico 62-XX - Statistics [MSC 2020]
62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020]
Soggetto non controllato Generalized reduced-rank regression
High-dimensional reduced-rank regression
Low-rank regression methods
Mixed data
Multivariate Analysis
Non-Gaussian
Sparse regression methods
Tensor data
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00278540
Reinsel, Gregory C.  
New York, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Multivariate Reduced-Rank Regression : Theory and Applications / Gregory C. Reinsel, Raja P. Velu
Multivariate Reduced-Rank Regression : Theory and Applications / Gregory C. Reinsel, Raja P. Velu
Autore Reinsel, Gregory C.
Pubbl/distr/stampa New York, : Springer, 1998
Descrizione fisica xiii, 258 p. ; 24 cm
Altri autori (Persone) Velu, Raja P.
Soggetto topico 62-XX - Statistics [MSC 2020]
62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020]
65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020]
Soggetto non controllato Generalized reduced-rank regression
High-dimensional reduced-rank regression
Low-rank regression methods
Mixed data
Multivariate Analysis
Non-Gaussian
Sparse regression methods
Tensor data
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00298557
Reinsel, Gregory C.  
New York, : Springer, 1998
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui