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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.  
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.
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.  
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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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  
Cham, : Springer, 2017
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
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
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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]
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]
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
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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
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Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama editors
Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama editors
Pubbl/distr/stampa Singapore, : Springer, 2020
Descrizione fisica xv, 472 p. : ill. ; 24 cm
Soggetto topico 00B30 - Festschriften [MSC 2020]
62-XX - Statistics [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020]
62P15 - Applications of statistics to psychology [MSC 2020]
91D10 - Models of societies, social and urban evolution [MSC 2020]
91F10 - History, political science [MSC 2020]
Soggetto non controllato Behaviormetrics
Classification
Data science
Marketing Science
Multidimensional Representation of Data
Visualization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0250061
Singapore, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Advanced Studies in Classification and Data Science / Tadashi Imaizumi ... [et al.] editors
Advanced Studies in Classification and Data Science / Tadashi Imaizumi ... [et al.] editors
Pubbl/distr/stampa Singapore, : Springer, 2020
Descrizione fisica xi, 524 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]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
Soggetto non controllato Classification
Cluster analysis
Complex data
Marketing Science
Multidimensional Representation of Data
Visualization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0250066
Singapore, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui