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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
Opac: Controlla la disponibilità qui
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.  
Cham, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors
Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors
Pubbl/distr/stampa Cham, : Springer, 2018
Descrizione fisica xvi, 304 p. : ill. ; 24 cm
Soggetto topico 82B41 - Random walks, random surfaces, lattice animals, etc. in equilibrium statistical mechanics [MSC 2020]
60G35 - Signal detection and filtering (aspects of stochastic processes) [MSC 2020]
62-XX - Statistics [MSC 2020]
82B31 - Stochastic methods applied to problems in equilibrium statistical mechanics [MSC 2020]
62Axx - Foundational topics in statistics [MSC 2020]
65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020]
81Pxx - Foundations, quantum information and its processing, quantum axioms, and philosophy [MSC 2020]
62Fxx - Parametric inference [MSC 2020]
85A35 - Statistical astronomy [MSC 2020]
Soggetto non controllato Astrophysics
Biostatistics
Chemistry
Climate Studies
Communications Theory
Comology
Earth Science
Entropy
Fluid mechanics
Genetics
Geophysics
Imprecise Probability
Machine learning
Material Science
Maximum Entropy
Medical Imaging
Non-parametric Mmethods
Robotics
Statistical models
Survival analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0124581
Cham, : Springer, 2018
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors
Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors
Pubbl/distr/stampa Cham, : Springer, 2018
Descrizione fisica xvi, 304 p. : ill. ; 24 cm
Soggetto topico 60G35 - Signal detection and filtering (aspects of stochastic processes) [MSC 2020]
62-XX - Statistics [MSC 2020]
62Axx - Foundational topics in statistics [MSC 2020]
62Fxx - Parametric inference [MSC 2020]
65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020]
81Pxx - Foundations, quantum information and its processing, quantum axioms, and philosophy [MSC 2020]
82B31 - Stochastic methods applied to problems in equilibrium statistical mechanics [MSC 2020]
82B41 - Random walks, random surfaces, lattice animals, etc. in equilibrium statistical mechanics [MSC 2020]
85A35 - Statistical astronomy [MSC 2020]
Soggetto non controllato Astrophysics
Biostatistics
Chemistry
Climate Studies
Communications Theory
Comology
Earth Science
Entropy
Fluid mechanics
Genetics
Geophysics
Imprecise Probability
Machine learning
Material Science
Maximum Entropy
Medical Imaging
Non-parametric Mmethods
Robotics
Statistical models
Survival analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00124581
Cham, : Springer, 2018
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors
Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors
Edizione [Cham : Springer, 2018]
Pubbl/distr/stampa xvi, 304 p., : ill. ; 24 cm
Descrizione fisica Pubblicazione in formato elettronico
Soggetto topico 82B41 - Random walks, random surfaces, lattice animals, etc. in equilibrium statistical mechanics [MSC 2020]
60G35 - Signal detection and filtering (aspects of stochastic processes) [MSC 2020]
62-XX - Statistics [MSC 2020]
82B31 - Stochastic methods applied to problems in equilibrium statistical mechanics [MSC 2020]
62Axx - Foundational topics in statistics [MSC 2020]
65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020]
81Pxx - Foundations, quantum information and its processing, quantum axioms, and philosophy [MSC 2020]
62Fxx - Parametric inference [MSC 2020]
85A35 - Statistical astronomy [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0124581
xvi, 304 p., : ill. ; 24 cm
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Differential geometry and statistics / Michael K. Murray and John W. Rice
Differential geometry and statistics / Michael K. Murray and John W. Rice
Autore Murray, Michael K.
Pubbl/distr/stampa Boca Raton, : Chapman & Hall, 1993
Descrizione fisica XIII, 272 p. ; 24 cm.
Soggetto topico 53-XX - Differential geometry [MSC 2020]
62Axx - Foundational topics in statistics [MSC 2020]
ISBN 04-12-39860-5
978-04-12-39860-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0055032
Murray, Michael K.  
Boca Raton, : Chapman & Hall, 1993
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Differential geometry and statistics / Michael K. Murray and John W. Rice
Differential geometry and statistics / Michael K. Murray and John W. Rice
Autore Murray, Michael K.
Pubbl/distr/stampa Boca Raton, : Chapman & Hall, 1993
Descrizione fisica XIII, 272 p. ; 24 cm
Soggetto topico 53-XX - Differential geometry [MSC 2020]
62Axx - Foundational topics in statistics [MSC 2020]
ISBN 04-12-39860-5
978-04-12-39860-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0055032
Murray, Michael K.  
Boca Raton, : Chapman & Hall, 1993
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Differential geometry and statistics / Michael K. Murray and John W. Rice
Differential geometry and statistics / Michael K. Murray and John W. Rice
Autore Murray, Michael K.
Pubbl/distr/stampa Boca Raton, : Chapman & Hall, 1993
Descrizione fisica XIII, 272 p. ; 24 cm
Soggetto topico 53-XX - Differential geometry [MSC 2020]
62Axx - Foundational topics in statistics [MSC 2020]
ISBN 04-12-39860-5
978-04-12-39860-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00055032
Murray, Michael K.  
Boca Raton, : Chapman & Hall, 1993
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Introductory statistical inference with the likelihood function / Charles A. Rohde
Introductory statistical inference with the likelihood function / Charles A. Rohde
Autore Rohde, Charles A.
Pubbl/distr/stampa Cham, : Springer, 2014
Descrizione fisica XVI, 332 p. : ill. ; 24 cm
Soggetto topico 62Axx - Foundational topics in statistics [MSC 2020]
92B15 - General Biostatistics [MSC 2020]
62Dxx - Statistical sampling theory and related topics [MSC 2020]
62Jxx - Linear inference, regression [MSC 2020]
62Fxx - Parametric inference [MSC 2020]
Soggetto non controllato Bayes' Theorem Biostatistics
Bayesian Inference
Biostatistics methodology
Likelihood Function
Likelihood Modeling
Pure Likelihood Inference
Severity
Statistical inference for biology
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0104038
Rohde, Charles A.  
Cham, : Springer, 2014
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui