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A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu
| A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu |
| Autore | Alvo, Mayer |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xiv, 279 p. : ill. ; 24 cm |
| Altri autori (Persone) | Yu, Philip L. H. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Bayesian analysis
Nonparametric Statistics Nonparametrics Parametric inference Penalized likelihood Ranking data Statistical inference |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124513 |
Alvo, Mayer
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu
| A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu |
| Autore | Alvo, Mayer |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xiv, 279 p. : ill. ; 24 cm |
| Altri autori (Persone) | Yu, Philip L. H. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Fxx - Parametric inference [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Bayesian analysis
Nonparametric Statistics Nonparametrics Parametric inference Penalized likelihood Ranking data Statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124513 |
|
Alvo, Mayer
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
| Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 184 p. : ill. ; 24 cm |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Cxx - Statistical decision theory [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] |
| Soggetto non controllato |
Applications
Bayesian Inference Bayesian Modeling Bayesian computation Computational problems in statistics Data science Inference from stochastic processes Methodological and Applied Statistics Multivariate Analysis Neurosciences, astrostatistics, climate change Nonparametric inference Parametric inference Young researchers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126746 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
| Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 184 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Soggetto non controllato |
Applications
Bayesian Inference Bayesian Modeling Bayesian computation Computational problems in statistics Data science Inference from stochastic processes Methodological and Applied Statistics Multivariate Analysis Neurosciences, astrostatistics, climate change Nonparametric inference Parametric inference Young researchers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126746 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
The art of progressive censoring : applications to reliability and quality / N. Balakrishnan, Erhard Cramer
| The art of progressive censoring : applications to reliability and quality / N. Balakrishnan, Erhard Cramer |
| Autore | Balakrishnan, Narayanaswamy |
| Pubbl/distr/stampa | New York, : Birkhäuser ; Springer, 2014 |
| Descrizione fisica | XXI, 645 p. ; 24 cm |
| Altri autori (Persone) | Cramer, Erhard |
| Soggetto topico |
62N05 - Reliability and life testing [MSC 2020]
62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] 62N86 - Fuzziness, and survival analysis and censored data [MSC 2020] 62N01 - Censored data models [MSC 2020] |
| Soggetto non controllato |
Experimental design
Fisher information Goodness-of-fit test Life testing Nonparametric inference Optimal progressive censoring Ordered data Parametric inference Progressive censoring Progressively censored samples Quality control Reliability |
| ISBN | 978-08-17-64806-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0102492 |
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Balakrishnan, Narayanaswamy
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| New York, : Birkhäuser ; Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
The art of progressive censoring : applications to reliability and quality / N. Balakrishnan, Erhard Cramer
| The art of progressive censoring : applications to reliability and quality / N. Balakrishnan, Erhard Cramer |
| Autore | Balakrishnan, Narayanaswamy |
| Pubbl/distr/stampa | New York, : Birkhäuser ; Springer, 2014 |
| Descrizione fisica | XXI, 645 p. ; 24 cm |
| Altri autori (Persone) | Cramer, Erhard |
| Soggetto topico |
62N01 - Censored data models [MSC 2020]
62N05 - Reliability and life testing [MSC 2020] 62N86 - Fuzziness, and survival analysis and censored data [MSC 2020] 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] |
| Soggetto non controllato |
Experimental design
Fisher information Goodness-of-fit test Life testing Nonparametric inference Optimal progressive censoring Ordered data Parametric inference Progressive censoring Progressively censored samples Quality control Reliability |
| ISBN | 978-08-17-64806-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00102492 |
|
Balakrishnan, Narayanaswamy
|
||
| New York, : Birkhäuser ; Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||