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A Statistical Model : Frederick Mosteller’s Contributions to Statistics, Science, and Public Policy / Edited by Stephen E. Fienberg ... [et al.]
A Statistical Model : Frederick Mosteller’s Contributions to Statistics, Science, and Public Policy / Edited by Stephen E. Fienberg ... [et al.]
Pubbl/distr/stampa New York, : Springer-Verlag, 1990
Descrizione fisica xviii, 283 p. : ill. ; 24 cm
Soggetto non controllato Data analysis
Linear optimization
Mathematical statistics
Sage
Statistical models
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00287662
New York, : Springer-Verlag, 1990
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
Autore Christensen, Ronald
Edizione [3. ed]
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xxiii, 608 p. : ill. ; 24 cm
Soggetto topico 62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020]
62G08 - Nonparametric regression and quantile regression [MSC 2020]
62K20 - Response surface designs [MSC 2020]
Soggetto non controllato ANOVA
Data analysis
Excel
Factor analysis
Heteroscedasticity
Mathematical statistics
Mixed models
Multivariate models
Statistica
Time series
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0126672
Christensen, Ronald  
Cham, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
Autore Christensen, Ronald
Edizione [3. ed]
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xxiii, 608 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62G08 - Nonparametric regression and quantile regression [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020]
62K20 - Response surface designs [MSC 2020]
62Mxx - Inference from stochastic processes [MSC 2020]
Soggetto non controllato ANOVA
Data analysis
Excel
Factor analysis
Heteroscedasticity
Mathematical statistics
Mixed models
Multivariate models
Statistica
Time series
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00126672
Christensen, Ronald  
Cham, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Advances in Data Science / Ilke Demir ... [et al.] editors
Advances in Data Science / Ilke Demir ... [et al.] editors
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xx, 364 p. : ill. ; 24 cm
Soggetto topico 68-XX - Computer science [MSC 2020]
94-XX - Information and communication theory, circuits [MSC 2020]
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
68Txx - Artificial intelligence [MSC 2020]
62-XX - Statistics [MSC 2020]
62H35 - Image analysis in multivariate analysis [MSC 2020]
94A08 - Image processing (compression, reconstruction, etc.) in information and communication theory [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
Soggetto non controllato Data analysis
Discrete approximations
Health science
Incomplete and multi-modal data
Methods involving duality
Networking
Regularization
Spatial-temporal dynamics modeling
Statistical topological learning algorithms
User anonymity
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0274518
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Advances in Data Science / Ilke Demir ... [et al.] editors
Advances in Data Science / Ilke Demir ... [et al.] editors
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xx, 364 p. : ill. ; 24 cm
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
62H35 - Image analysis in multivariate analysis [MSC 2020]
68-XX - Computer science [MSC 2020]
68Txx - Artificial intelligence [MSC 2020]
94-XX - Information and communication theory, circuits [MSC 2020]
94A08 - Image processing (compression, reconstruction, etc.) in information and communication theory [MSC 2020]
Soggetto non controllato Data analysis
Discrete approximations
Health science
Incomplete and multi-modal data
Methods involving duality
Networking
Regularization
Spatial-temporal dynamics modeling
Statistical topological learning algorithms
User anonymity
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00274518
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Advances in statistical models for data analysis / Isabella Morlini, Tommaso Minerva, Maurizio Vichi editors
Advances in statistical models for data analysis / Isabella Morlini, Tommaso Minerva, Maurizio Vichi editors
Pubbl/distr/stampa [Cham], : Springer, 2015
Descrizione fisica VIII, 268 p. : ill. ; 24 cm
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020]
62P20 - Applications of statistics to economics [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 Causal inference
Classification
Custering
Data analysis
Dglars
Fuzzy methods
Multidimensional methods
Quantile regression
Statistical models
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0113490
[Cham], : Springer, 2015
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Advances in statistical models for data analysis / Isabella Morlini, Tommaso Minerva, Maurizio Vichi editors
Advances in statistical models for data analysis / Isabella Morlini, Tommaso Minerva, Maurizio Vichi editors
Pubbl/distr/stampa [Cham], : Springer, 2015
Descrizione fisica VIII, 268 p. : ill. ; 24 cm
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020]
62P20 - Applications of statistics to economics [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 Causal inference
Classification
Custering
Data analysis
Dglars
Fuzzy methods
Multidimensional methods
Quantile regression
Statistical models
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00113490
[Cham], : Springer, 2015
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Agent-based modeling in humanitarian interventions : emerging research and opportunities / / John McCaskill
Agent-based modeling in humanitarian interventions : emerging research and opportunities / / John McCaskill
Autore McCaskill John
Pubbl/distr/stampa Hershey, Pennsylvania : , : IGI Global, , 2017
Descrizione fisica PDFs (99 pages) : illustrations
Disciplina 341.584
Collana Advances in Electronic Government, Digital Divide, and Regional Development (AEGDDRD) Book Series
Soggetto topico Humanitarian intervention - Management
Multiagent systems
Soggetto non controllato Complexity theory
Data analysis
Ethical considerations
Military involvement
Non-governmental organizations
Policy implications
ISBN 9781522517832
9781522517825
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Literature review -- Agent-based modeling -- The simulation presented in the ODD protocol -- Findings and conclusion.
Record Nr. UNINA-9910155145903321
McCaskill John  
Hershey, Pennsylvania : , : IGI Global, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Algebraic Foundations for Applied Topology and Data Analysis / Hal Schenck
Algebraic Foundations for Applied Topology and Data Analysis / Hal Schenck
Autore Schenck, Hal
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xii, 224 p. : ill. ; 24 cm
Soggetto non controllato Algebraic Topology
Applied algebra
Applied topology
Computational Algebra
Computational mathematics
Data analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0276833
Schenck, Hal  
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Algebraic Foundations for Applied Topology and Data Analysis / Hal Schenck
Algebraic Foundations for Applied Topology and Data Analysis / Hal Schenck
Autore Schenck, Hal
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xii, 224 p. : ill. ; 24 cm
Soggetto non controllato Algebraic Topology
Applied algebra
Applied topology
Computational Algebra
Computational mathematics
Data analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00276833
Schenck, Hal  
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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