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A Primer of Permutation Statistical Methods / Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr
| A Primer of Permutation Statistical Methods / Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr |
| Autore | Berry, Kenneth J. |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxiii, 476 p. ; 24 cm |
| Altri autori (Persone) |
Johnston, Janis E.
Mielke, Paul W. jr. |
| Soggetto topico |
01-XX - History and biography [MSC 2020]
62-XX - Statistics [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Axx - Foundational topics in statistics [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 |
Combinatorics
Contingency tables Exact tests Moment approximation tests Monte Carlo tests Permutation Randomization |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126632 |
Berry, Kenneth J.
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A Primer of Permutation Statistical Methods / Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr
| A Primer of Permutation Statistical Methods / Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr |
| Autore | Berry, Kenneth J. |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxiii, 476 p. ; 24 cm |
| Altri autori (Persone) |
Johnston, Janis E.
Mielke, Paul W. jr. |
| Soggetto topico |
01-XX - History and biography [MSC 2020]
62-XX - Statistics [MSC 2020] 62Axx - Foundational topics in statistics [MSC 2020] 62Gxx - Nonparametric inference [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 |
Combinatorics
Contingency tables Exact tests Moment approximation tests Monte Carlo tests Permutation Randomization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126632 |
|
Berry, Kenneth J.
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
A Primer of Permutation Statistical Methods / Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr
| A Primer of Permutation Statistical Methods / Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr |
| Autore | Berry, Kenneth J. |
| Edizione | [Cham : Springer, 2019] |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) |
Johnston, Janis E.
Mielke, Paul W. jr. |
| Soggetto topico |
01-XX - History and biography [MSC 2020]
62-XX - Statistics [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Axx - Foundational topics in statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [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-SUN0126632 |
|
Berry, Kenneth J.
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| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / Daniel Durstewitz
| Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / Daniel Durstewitz |
| Autore | Durstewitz, Daniel |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxv, 292 p. : ill. ; 24 cm |
| Soggetto topico |
92C20 - Neural biology [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 |
Bootstrap methods
Change point analysis Clustering Dimensionality reduction Machine learning Multiple testing Multivariate maps and recurrent neural networks Multivariate statistics Neural time series Nonlinear dynamical systems Nonlinear oscillations Nonparametric time series modeling Principal component analysis Reconstructing state spaces from experimental data Statistical methods in neuroscience Statistical parameter estimation Unsupervised clustering |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123545 |
|
Durstewitz, Daniel
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / Daniel Durstewitz
| Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / Daniel Durstewitz |
| Autore | Durstewitz, Daniel |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxv, 292 p. : ill. ; 24 cm |
| Soggetto topico |
62R07 - Statistical aspects of big data and data science [MSC 2020]
68T09 - Computational aspects of data analysis and big data [MSC 2020] 92C20 - Neural biology [MSC 2020] |
| Soggetto non controllato |
Bootstrap methods
Change point analysis Clustering Dimensionality reduction Machine learning Multiple testing Multivariate maps and recurrent neural networks Multivariate statistics Neural time series Nonlinear dynamical systems Nonlinear oscillations Nonparametric time series modeling Principal component analysis Reconstructing state spaces from experimental data Statistical methods in neuroscience Statistical parameter estimation Unsupervised clustering |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123545 |
|
Durstewitz, Daniel
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / Daniel Durstewitz
| Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / Daniel Durstewitz |
| Autore | Durstewitz, Daniel |
| Edizione | [Cham : Springer, 2017] |
| Pubbl/distr/stampa | xxv, 292 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
92C20 - Neural biology [MSC 2020]
62R07 - Statistical aspects of big data and data science [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-SUN0123545 |
|
Durstewitz, Daniel
|
||
| xxv, 292 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advanced statistical methods in data science / Ding-Geng (Din) Chen ... [et al.] editors
| Advanced statistical methods in data science / Ding-Geng (Din) Chen ... [et al.] editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2016 |
| Descrizione fisica | XVI, 222 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62Nxx - Survival analysis and censored data [MSC 2020] 62Pxx - Applications of statistics [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 |
Accelerated Degradation Data
Analytics Degradation Models Non-Destructive and Destructive Degradation Tests Reliability Models Statistical Theory and Methods Statistical models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114268 |
| Singapore, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advanced statistical methods in data science / Ding-Geng (Din) Chen ... [et al.] editors
| Advanced statistical methods in data science / Ding-Geng (Din) Chen ... [et al.] editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2016 |
| Descrizione fisica | XVI, 222 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62Nxx - Survival analysis and censored data [MSC 2020] 62Pxx - Applications of statistics [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 |
Accelerated Degradation Data
Analytics Degradation Models Non-Destructive and Destructive Degradation Tests Reliability Models Statistical Theory and Methods Statistical models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114268 |
| Singapore, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advanced statistical methods in data science / Ding-Geng (Din) Chen ... [et al.] editors
| Advanced statistical methods in data science / Ding-Geng (Din) Chen ... [et al.] editors |
| Edizione | [Singapore : Springer, 2016] |
| Pubbl/distr/stampa | XVI, 222 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] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Nxx - Survival analysis and censored data [MSC 2020] 62Pxx - Applications of 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-SUN0114268 |
| XVI, 222 p., : ill. ; 24 cm | ||
| 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-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 | ||
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