Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advances in Complex Data Modeling and Computational Methods in Statistics / Anna Maria Paganoni, Piercesare Secchi editors
| Advances in Complex Data Modeling and Computational Methods in Statistics / Anna Maria Paganoni, Piercesare Secchi editors |
| Pubbl/distr/stampa | Cham, : Springer, 2015 |
| Descrizione fisica | viii, 209 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [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] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Biodata mining
Classification and prediction of high dimensional data Complex data surveys Complexity Computational methods for statistics Statistical methods for industry and technology |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0125295 |
| Cham, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advances in Complex Data Modeling and Computational Methods in Statistics / Anna Maria Paganoni, Piercesare Secchi editors
| Advances in Complex Data Modeling and Computational Methods in Statistics / Anna Maria Paganoni, Piercesare Secchi editors |
| Pubbl/distr/stampa | Cham, : Springer, 2015 |
| Descrizione fisica | viii, 209 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-08 - Computational methods for problems pertaining to statistics [MSC 2020] 62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Biodata mining
Classification and prediction of high dimensional data Complex data surveys Complexity Computational methods for statistics Statistical methods for industry and technology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00125295 |
| Cham, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advances in Complex Data Modeling and Computational Methods in Statistics / Anna Maria Paganoni, Piercesare Secchi editors
| Advances in Complex Data Modeling and Computational Methods in Statistics / Anna Maria Paganoni, Piercesare Secchi editors |
| Edizione | [Cham : Springer, 2015] |
| Pubbl/distr/stampa | viii, 209 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [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] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [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-SUN0125295 |
| viii, 209 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied Statistical Methods : ISGES 2020, Pune, India, January 2–4 / David D. Hanagal, Raosaheb V. Latpate, Girish Chandra editors
| Applied Statistical Methods : ISGES 2020, Pune, India, January 2–4 / David D. Hanagal, Raosaheb V. Latpate, Girish Chandra editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | xviii, 307 p. : ill. ; 24 cm |
| Soggetto topico |
62-08 - Computational methods for problems pertaining to statistics [MSC 2020]
62-XX - Statistics [MSC 2020] 97K80 - Applied statistics (educational aspects) [MSC 2020] |
| Soggetto non controllato |
Applied statistical methods
Grey relational analysis Recent advances in applied statistics Small area estimation Statistical methods and applications |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278336 |
| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied Statistical Methods : ISGES 2020, Pune, India, January 2–4 / David D. Hanagal, Raosaheb V. Latpate, Girish Chandra editors
| Applied Statistical Methods : ISGES 2020, Pune, India, January 2–4 / David D. Hanagal, Raosaheb V. Latpate, Girish Chandra editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | xviii, 307 p. : ill. ; 24 cm |
| Soggetto topico |
62-08 - Computational methods for problems pertaining to statistics [MSC 2020]
62-XX - Statistics [MSC 2020] 97K80 - Applied statistics (educational aspects) [MSC 2020] |
| Soggetto non controllato |
Applied statistical methods
Grey relational analysis Recent advances in applied statistics Small area estimation Statistical methods and applications |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278336 |
| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Elements of Copula Modeling with R / Marius Hofert ... [et al.]
| Elements of Copula Modeling with R / Marius Hofert ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | x, 267 p. : ill. ; 24 cm |
| Soggetto topico |
65C10 - Random number generation in numerical analysis [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [MSC 2020] |
| Soggetto non controllato |
Applications in engineering
Applications in environmental sciences Applications in finance and insurance Multivariate dependance Quantitative Finance R package copula Statistical environment R Statistical modeling Statistical modeling of multivariate distributions |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124652 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Elements of Copula Modeling with R / Marius Hofert ... [et al.]
| Elements of Copula Modeling with R / Marius Hofert ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | x, 267 p. : ill. ; 24 cm |
| Soggetto topico |
62-08 - Computational methods for problems pertaining to statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 65C10 - Random number generation in numerical analysis [MSC 2020] |
| Soggetto non controllato |
Applications in engineering
Applications in environmental sciences Applications in finance and insurance Multivariate dependance Quantitative Finance R package copula Statistical environment R Statistical modeling Statistical modeling of multivariate distributions |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124652 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Elements of Copula Modeling with R / Marius Hofert ... [et al.]
| Elements of Copula Modeling with R / Marius Hofert ... [et al.] |
| Edizione | [Cham : Springer, 2018] |
| Pubbl/distr/stampa | x, 267 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
65C10 - Random number generation in numerical analysis [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0124652 |
| x, 267 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modeling Survival Data Using Frailty Models / David D. Hanagal
| Modeling Survival Data Using Frailty Models / David D. Hanagal |
| Autore | Hanagal, David D. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Singapore, : Springer, 2019 |
| Descrizione fisica | xxiv, 295 p. : ill. ; 24 cm |
| Soggetto topico |
37Mxx - Approximation methods and numerical treatment of dynamical systems [MSC 2020]
62Nxx - Survival analysis and censored data [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0127367 |
Hanagal, David D.
|
||
| Singapore, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modeling Survival Data Using Frailty Models / David D. Hanagal
| Modeling Survival Data Using Frailty Models / David D. Hanagal |
| Autore | Hanagal, David D. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Singapore, : Springer, 2019 |
| Descrizione fisica | xxiv, 295 p. : ill. ; 24 cm |
| Soggetto topico |
37Mxx - Approximation methods and numerical treatment of dynamical systems [MSC 2020]
62Nxx - Survival analysis and censored data [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Estimation Methods Frailty Models Hypothesis Testing Non-parametric Models Parametric Models Semi-parametric Models Statistical Modelling Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127367 |
|
Hanagal, David D.
|
||
| Singapore, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Soggetto topico
-
62-08 - Computational methods for problems pertaining to statistics [MSC 2020]
(19)
- 62-XX - Statistics [MSC 2020] (10)
- 62P12 - Applications of statistics to environmental and related topics [MSC 2020] (9)
- 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] (5)
- 62R07 - Statistical aspects of big data and data science [MSC 2020] (5)