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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 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-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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Applied Statistics and Data Science : Proceedings of Statistics 2021 Canada, Selected Contributions / Yogendra P. Chaubey ... [et al.] editors
| Applied Statistics and Data Science : Proceedings of Statistics 2021 Canada, Selected Contributions / Yogendra P. Chaubey ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | ix, 159 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Soggetto non controllato |
Actuarial mathematics
Computational statistics Data Analytics Data Mining Data science Environmental Statistics Probability and Statistics in Computer Science Small area estimation Statistical Methods Supply chain Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274563 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applied Statistics and Data Science : Proceedings of Statistics 2021 Canada, Selected Contributions / Yogendra P. Chaubey ... [et al.] editors
| Applied Statistics and Data Science : Proceedings of Statistics 2021 Canada, Selected Contributions / Yogendra P. Chaubey ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | ix, 159 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Actuarial mathematics
Computational statistics Data Analytics Data Mining Data science Environmental Statistics Probability and Statistics in Computer Science Small area estimation Statistical Methods Supply chain Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274563 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Inference and Computation in Reliability and Survival Analysis / Yuhlong Lio ... [et al.] editors
| Bayesian Inference and Computation in Reliability and Survival Analysis / Yuhlong Lio ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xviii, 364 p. : ill. ; 24 cm |
| Soggetto non controllato |
Bayes
Bayesian Inference Reliability analysis Statistical computing Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276937 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Inference and Computation in Reliability and Survival Analysis / Yuhlong Lio ... [et al.] editors
| Bayesian Inference and Computation in Reliability and Survival Analysis / Yuhlong Lio ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xviii, 364 p. : ill. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62N05 - Reliability and life testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Bayes
Bayesian Inference Reliability analysis Statistical computing Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00276937 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors
| Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xvi, 304 p. : ill. ; 24 cm |
| Soggetto topico |
82B41 - Random walks, random surfaces, lattice animals, etc. in equilibrium statistical mechanics [MSC 2020]
60G35 - Signal detection and filtering (aspects of stochastic processes) [MSC 2020] 62-XX - Statistics [MSC 2020] 82B31 - Stochastic methods applied to problems in equilibrium statistical mechanics [MSC 2020] 62Axx - Foundational topics in statistics [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 81Pxx - Foundations, quantum information and its processing, quantum axioms, and philosophy [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 85A35 - Statistical astronomy [MSC 2020] |
| Soggetto non controllato |
Astrophysics
Biostatistics Chemistry Climate Studies Communications Theory Comology Earth Science Entropy Fluid mechanics Genetics Geophysics Imprecise Probability Machine learning Material Science Maximum Entropy Medical Imaging Non-parametric Mmethods Robotics Statistical models Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124581 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors
| Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xvi, 304 p. : ill. ; 24 cm |
| Soggetto topico |
60G35 - Signal detection and filtering (aspects of stochastic processes) [MSC 2020]
62-XX - Statistics [MSC 2020] 62Axx - Foundational topics in statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 81Pxx - Foundations, quantum information and its processing, quantum axioms, and philosophy [MSC 2020] 82B31 - Stochastic methods applied to problems in equilibrium statistical mechanics [MSC 2020] 82B41 - Random walks, random surfaces, lattice animals, etc. in equilibrium statistical mechanics [MSC 2020] 85A35 - Statistical astronomy [MSC 2020] |
| Soggetto non controllato |
Astrophysics
Biostatistics Chemistry Climate Studies Communications Theory Comology Earth Science Entropy Fluid mechanics Genetics Geophysics Imprecise Probability Machine learning Material Science Maximum Entropy Medical Imaging Non-parametric Mmethods Robotics Statistical models Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124581 |
| Cham, : Springer, 2018 | ||
| 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 | ||
| ||
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 |
62-XX - Statistics [MSC 2020]
62F10 - Point estimation [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62J12 - Generalized linear models (logistic models) [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-VAN00274604 |
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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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