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Analysis of Doubly Truncated Data : An Introduction / Achim Dörre, Takeshi Emura
| Analysis of Doubly Truncated Data : An Introduction / Achim Dörre, Takeshi Emura |
| Autore | Dörre, Achim |
| Pubbl/distr/stampa | Singapore, : Springer, 2019 |
| Descrizione fisica | xvi, 112 p. : ill. ; 24 cm |
| Altri autori (Persone) | Emura, Takeshi |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] |
| Soggetto non controllato |
Biased Sampling
Double-truncation Exponential Family Left-truncation Lifetime Distribution Maximum likelihood estimation Survival analysis |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127273 |
Dörre, Achim
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| Singapore, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of Doubly Truncated Data : An Introduction / Achim Dörre, Takeshi Emura
| Analysis of Doubly Truncated Data : An Introduction / Achim Dörre, Takeshi Emura |
| Autore | Dörre, Achim |
| Pubbl/distr/stampa | Singapore, : Springer, 2019 |
| Descrizione fisica | xvi, 112 p. : ill. ; 24 cm |
| Altri autori (Persone) | Emura, Takeshi |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] |
| Soggetto non controllato |
Biased Sampling
Double-truncation Exponential Families Left-truncation Lifetime Distribution Maximum likelihood estimation Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00127273 |
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Dörre, Achim
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| Singapore, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bilinear Regression Analysis : An Introduction / Dietrich von Rosen
| Bilinear Regression Analysis : An Introduction / Dietrich von Rosen |
| Autore | Rosen, Dietrich : von |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xiii, 468 p. : ill. ; 24 cm |
| Soggetto topico |
62Hxx - Multivariate analysis [MSC 2020]
15Axx - Basic linear algebra [MSC 2020] |
| Soggetto non controllato |
Bilinear regression analysis
Generalised growth curve model Growth Curve Model Influence analysis Influential observation analysis Likelihood-ratio test Matrix theory Maximum likelihood estimation Multivariate statistical analysis Residual analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124582 |
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Rosen, Dietrich : von
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bilinear Regression Analysis : An Introduction / Dietrich von Rosen
| Bilinear Regression Analysis : An Introduction / Dietrich von Rosen |
| Autore | Rosen, Dietrich : von |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xiii, 468 p. : ill. ; 24 cm |
| Soggetto topico |
15Axx - Basic linear algebra [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] |
| Soggetto non controllato |
Bilinear regression analysis
Generalised growth curve model Growth Curve Model Influence analysis Influential observation analysis Likelihood-ratio test Matrix theory Maximum likelihood estimation Multivariate statistical analysis Residual analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124582 |
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Rosen, Dietrich : von
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Maximum-Entropy Networks : Pattern Detection, Network Reconstruction and Graph Combinatorics / Tiziano Squartini, Diego Garlaschelli
| Maximum-Entropy Networks : Pattern Detection, Network Reconstruction and Graph Combinatorics / Tiziano Squartini, Diego Garlaschelli |
| Autore | Squartini, Tiziano |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xii, 116 p. : ill. ; 24 cm |
| Altri autori (Persone) | Garlaschelli, Diego |
| Soggetto topico |
82-XX - Statistical mechanics, structure of matter [MSC 2020]
05C80 - Random graphs (graph-theoretic aspects) [MSC 2020] 93E12 - Identification in stochastic control theory [MSC 2020] |
| Soggetto non controllato |
Binary networks
Bootstrap methods Complex Networks Degree-corrected gravity model Directed networks Dyadic motifs Enhanced configuration model Maximum likelihood estimation Maximum-entropy Ensembles Triadic motifs Undirected networks Weighted networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0189713 |
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Squartini, Tiziano
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Maximum-Entropy Networks : Pattern Detection, Network Reconstruction and Graph Combinatorics / Tiziano Squartini, Diego Garlaschelli
| Maximum-Entropy Networks : Pattern Detection, Network Reconstruction and Graph Combinatorics / Tiziano Squartini, Diego Garlaschelli |
| Autore | Squartini, Tiziano |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xii, 116 p. : ill. ; 24 cm |
| Altri autori (Persone) | Garlaschelli, Diego |
| Soggetto topico |
05C80 - Random graphs (graph-theoretic aspects) [MSC 2020]
82-XX - Statistical mechanics, structure of matter [MSC 2020] 93E12 - Identification in stochastic control theory [MSC 2020] |
| Soggetto non controllato |
Binary networks
Bootstrap methods Complex Networks Degree-corrected gravity model Directed networks Dyadic motifs Enhanced configuration model Maximum likelihood estimation Maximum-entropy Ensembles Triadic motifs Undirected networks Weighted networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00189713 |
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Squartini, Tiziano
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink
| Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink |
| Autore | Visser, Ingmar |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xvi, 267 p. : ill. ; 24 cm |
| Altri autori (Persone) | Speekenbrink, Maarten |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62Rxx - Statistics on algebraic and topological structures [MSC 2020] |
| Soggetto non controllato |
Hidden Markov models
Latent class models Maximum likelihood estimation Mixture models Multivariate Multivariate time series R Programming Statistical Theory Time series Univariate Univariate time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277950 |
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Visser, Ingmar
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink
| Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink |
| Autore | Visser, Ingmar |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xvi, 267 p. : ill. ; 24 cm |
| Altri autori (Persone) | Speekenbrink, Maarten |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62Rxx - Statistics on algebraic and topological structures [MSC 2020] |
| Soggetto non controllato |
Hidden Markov models
Latent class models Maximum likelihood estimation Mixture models Multivariate Multivariate time series R Programming Statistical Theory Time series Univariate Univariate time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00277950 |
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Visser, Ingmar
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Stable and Efficient Cubature-based Filtering in Dynamical Systems / Dominik Ballreich
| Stable and Efficient Cubature-based Filtering in Dynamical Systems / Dominik Ballreich |
| Autore | Ballreich, Dominik |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xvii, 160 p. : ill. ; 24 cm |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
65D30 - Numerical integration [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [MSC 2020] |
| Soggetto non controllato |
Cubature Kalman filter
Deterministic numerical integration Filtering in dynamical systems Ginzburg-Landau model Kalman Filter Lorenz model Maximum likelihood estimation Numerical integration Optimization and stabilization of cubature rules Recursive Bayesian estimation Six-dimentional coordinated turn model Smolyak cubature Smolyak cubature rules with an approximate degree of exactness State-space models Univariate non-stationary growth model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123799 |
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Ballreich, Dominik
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Stable and Efficient Cubature-based Filtering in Dynamical Systems / Dominik Ballreich
| Stable and Efficient Cubature-based Filtering in Dynamical Systems / Dominik Ballreich |
| Autore | Ballreich, Dominik |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xvii, 160 p. : ill. ; 24 cm |
| Soggetto topico |
62-08 - Computational methods for problems pertaining to statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 65D30 - Numerical integration [MSC 2020] |
| Soggetto non controllato |
Cubature Kalman filter
Deterministic numerical integration Filtering in dynamical systems Ginzburg-Landau model Kalman Filter Lorenz model Maximum likelihood estimation Numerical integration Optimization and stabilization of cubature rules Recursive Bayesian estimation Six-dimentional coordinated turn model Smolyak cubature Smolyak cubature rules with an approximate degree of exactness State-space models Univariate non-stationary growth model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123799 |
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Ballreich, Dominik
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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