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2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
| 2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit, Michel |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 228 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hainaut, Donatien
Trufin, Julien |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 91G05 - Actuarial mathematics [MSC 2020] |
| Soggetto non controllato |
Actuarial modeling
Insurance risk classification Machine learning Supervised learning Tree-based methods for insurance |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249059 |
Denuit, Michel
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
| 2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit, Michel |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 228 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hainaut, Donatien
Trufin, Julien |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 91G05 - Actuarial mathematics [MSC 2020] |
| Soggetto non controllato |
Actuarial modeling
Insurance risk classification Machine learning Supervised learning Tree-based methods for insurance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249059 |
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Denuit, Michel
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advanced Statistics for Testing Assumed Causal Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / Hooshang Nayebi
| Advanced Statistics for Testing Assumed Causal Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / Hooshang Nayebi |
| Autore | Nayebi, Hooshang |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xii, 113 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] |
| Soggetto non controllato |
Advanced Statistical Techniques
Applied Multivariate Analysis Casual Relationships Linear regression Logistic Regression Multivariate statistical methods Path Analysis Social Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248572 |
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Nayebi, Hooshang
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advanced Statistics for Testing Assumed Causal Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / Hooshang Nayebi
| Advanced Statistics for Testing Assumed Causal Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / Hooshang Nayebi |
| Autore | Nayebi, Hooshang |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xii, 113 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G10 - Nonparametric hypothesis testing [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] |
| Soggetto non controllato |
Advanced Statistical Techniques
Applied Multivariate Analysis Casual Relationships Linear regression Logistic Regression Multivariate statistical methods Path Analysis Social Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248572 |
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Nayebi, Hooshang
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An Introduction to Latent Class Analysis : Methods and Applications / Nobuoki Eshima
| An Introduction to Latent Class Analysis : Methods and Applications / Nobuoki Eshima |
| Autore | Eshima, Nobuoki |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | xi, 190 p. : ill. ; 24 cm |
| Soggetto topico |
00A06 - Mathematics for nonmathematicians (engineering, social sciences, etc.) [MSC 2020]
62-XX - Statistics [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62P15 - Applications of statistics to psychology [MSC 2020] |
| Soggetto non controllato |
Analysis of Learning Structures
Confirmatory Latent Class Models Entropy-based Approach for Assessing Latent Class Models Entropy-based Path Analysis Exploratory Latent Class Analysis Latent Markov Models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278296 |
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Eshima, Nobuoki
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| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An introduction to statistical learning : with Applications in Python / Gareth James ... [et al.]
| An introduction to statistical learning : with Applications in Python / Gareth James ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xv, 60 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Data Mining
Inference Python Python software Statistical learning Supervised learning Unsupervsied learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278708 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury
| Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury |
| Autore | Islam, M. Ataharul |
| Pubbl/distr/stampa | Singapore, : Springer, 2017 |
| Descrizione fisica | xix, 250 p. ; 24 cm |
| Altri autori (Persone) | Chowdhury, Rafiqul Islam |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62N01 - Censored data models [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62M02 - Markov processes: hypothesis testing [MSC 2020] |
| Soggetto non controllato |
Bivariate Geometric Model
Generalized Linear Models Markov Chains Overdispersion Repeated Measures Data Weibull Data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123582 |
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Islam, M. Ataharul
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| Singapore, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury
| Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury |
| Autore | Islam, M. Ataharul |
| Pubbl/distr/stampa | Singapore, : Springer, 2017 |
| Descrizione fisica | xix, 250 p. ; 24 cm |
| Altri autori (Persone) | Chowdhury, Rafiqul Islam |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M02 - Markov processes: hypothesis testing [MSC 2020] 62N01 - Censored data models [MSC 2020] |
| Soggetto non controllato |
Bivariate Geometric Model
Generalized Linear Models Markov Chains Overdispersion Repeated Measures Data Weibull Data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123582 |
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Islam, M. Ataharul
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| Singapore, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury
| Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury |
| Autore | Islam, M. Ataharul |
| Edizione | [Singapore : Springer, 2017] |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Chowdhury, Rafiqul Islam |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62N01 - Censored data models [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62M02 - Markov processes: hypothesis testing [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0123582 |
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Islam, M. Ataharul
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| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bootstrap Methods : With Applications in R / Gerhard Dikta, Marsel Scheer
| Bootstrap Methods : With Applications in R / Gerhard Dikta, Marsel Scheer |
| Autore | Dikta, Gerhard |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xvi, 256 p. : ill. ; 24 cm |
| Altri autori (Persone) | Scheer, Marsel |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] |
| Soggetto non controllato |
Bootstrap based tests
Experimental design Generalized Linear Models Goodness-of-fit test Longitudinal data analyis Regression analysis Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274604 |
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Dikta, Gerhard
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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