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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 |
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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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.
|
||
| London, : Chapman & Hall, 1984 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
| An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
| Autore | Haslwanter, Thomas |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XVII, 278 p. : ill. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Alternative to R
Applications in life sciences Data analysis Introductory Statistics Programming Python Python source code Statistical Methods Statistical tests Statistics and computing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114408 |
|
Haslwanter, Thomas
|
||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
| An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
| Autore | Haslwanter, Thomas |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XVII, 278 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 92B15 - General Biostatistics [MSC 2020] |
| Soggetto non controllato |
Alternative to R
Applications in life sciences Data analysis Introductory Statistics Programming Python Python source code Statistical Methods Statistical tests Statistics and computing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114408 |
|
Haslwanter, Thomas
|
||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
| An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
| Autore | Haslwanter, Thomas |
| Edizione | [[Cham] : Springer, 2016] |
| Pubbl/distr/stampa | XVII, 278 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114408 |
|
Haslwanter, Thomas
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| XVII, 278 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / Matúš Maciak, Michal Pešta, Martin Schindler editors
| Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / Matúš Maciak, Michal Pešta, Martin Schindler editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 156 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62G07 - Density estimation [MSC 2020] 62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] |
| Soggetto non controllato |
(auto)regression
Analytical methods Asymptotics Estimation Fisher information Hypothesis Testing Meta learning Neural networks Robustness Statistical Methods Stochastic inequalities Stochastic models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248705 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / Matúš Maciak, Michal Pešta, Martin Schindler editors
| Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / Matúš Maciak, Michal Pešta, Martin Schindler editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 156 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62G07 - Density estimation [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020] |
| Soggetto non controllato |
(auto)regression
Analytical methods Asymptotics Estimation Fisher information Hypothesis Testing Meta learning Neural networks Robustness Statistical Methods Stochastic inequalities Stochastic models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248705 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar
| Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar |
| Autore | Härdle, Wolfgang Karl |
| Edizione | [5. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xii, 558 p. : ill. ; 24 cm |
| Altri autori (Persone) | Simar, Léopold |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62H17 - Contingency tables [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62F25 - Parametric tolerance and confidence regions [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0126731 |
|
Härdle, Wolfgang Karl
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar
| Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar |
| Autore | Härdle, Wolfgang Karl |
| Edizione | [5. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xii, 558 p. : ill. ; 24 cm |
| Altri autori (Persone) | Simar, Léopold |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62H17 - Contingency tables [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62F25 - Parametric tolerance and confidence regions [MSC 2020] |
| Soggetto non controllato |
Applications in Finance
Big data analysis Cluster analysis Clustering Computationally Intensive Techniques Conjoint Measurement Analysis Dimension Reduction Techniques Discriminant Analysis Hypothesis Testing Lasso and Elastic Net Multivariate Classification Multivariate data analysis Projection Persuit Quantitative Finance Sliced Inverse Regression Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126731 |
|
Härdle, Wolfgang Karl
|
||
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar
| Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar |
| Autore | Härdle, Wolfgang K. |
| Edizione | [5. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xii, 558 p. : ill. ; 24 cm |
| Altri autori (Persone) | Simar, Léopold |
| Soggetto topico |
62F25 - Parametric tolerance and confidence regions [MSC 2020]
62H10 - Multivariate distribution of statistics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62H17 - Contingency tables [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] |
| Soggetto non controllato |
Applications in Finance
Big data analysis Cluster analysis Clustering Computationally Intensive Techniques Conjoint Measurement Analysis Dimension Reduction Techniques Discriminant Analysis Hypothesis Testing Lasso and Elastic Net Multivariate Classification Multivariate data analysis Projection Persuit Quantitative Finance Sliced Inverse Regression Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126731 |
|
Härdle, Wolfgang K.
|
||
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
