top

  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.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
Autore Bhattacharya, Rabi
Pubbl/distr/stampa New York, : Springer, 2016
Descrizione fisica XI, 389 p. : ill. ; 24 cm
Altri autori (Persone) Lin, Lizhen
Patrangenaru, Victor
Soggetto topico 65C05 - Monte Carlo methods [MSC 2020]
62B05 - Sufficient statistics and fields [MSC 2020]
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62M05 - Markov processes: estimation; hidden Markov models [MSC 2020]
62Dxx - Statistical sampling theory and related topics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62G10 - Nonparametric hypothesis testing [MSC 2020]
62E20 - Asymptotic distribution theory in statistics [MSC 2020]
62G20 - Asymptotic properties of nonparametric inference [MSC 2020]
62C05 - General considerations in statistical decision theory [MSC 2020]
62G09 - Nonparametric statistical resampling methods [MSC 2020]
60J05 - Discrete-time Markov processes on general state spaces [MSC 2020]
Soggetto non controllato Asymptotic Distribution
Bayes estimators
Bayes rules
Bootstrap
Confidence Intervals
Cramer-Rao Inequality
Curve estimation
Decision theory
Gauss-Markov Theorem
Large sample theory
Linear Models
Markov Chain Monte Carlo Simulation
Neyman-Pearson lemma
Nonparametric
Parametric
Unbiased estimation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0114246
Bhattacharya, Rabi  
New York, : Springer, 2016
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
Autore Bhattacharya, Rabi
Edizione [New York : Springer, 2016]
Pubbl/distr/stampa XI, 389 p., : ill. ; 24 cm
Descrizione fisica Pubblicazione in formato elettronico
Altri autori (Persone) Lin, Lizhen
Patrangenaru, Victor
Soggetto topico 65C05 - Monte Carlo methods [MSC 2020]
62B05 - Sufficient statistics and fields [MSC 2020]
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62M05 - Markov processes: estimation; hidden Markov models [MSC 2020]
62Dxx - Statistical sampling theory and related topics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62G10 - Nonparametric hypothesis testing [MSC 2020]
62E20 - Asymptotic distribution theory in statistics [MSC 2020]
62G20 - Asymptotic properties of nonparametric inference [MSC 2020]
62C05 - General considerations in statistical decision theory [MSC 2020]
62G09 - Nonparametric statistical resampling methods [MSC 2020]
60J05 - Discrete-time Markov processes on general state spaces [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0114246
Bhattacharya, Rabi  
XI, 389 p., : ill. ; 24 cm
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Advances and challenges in parametric and semi-parametric analysis for correlated data : Proceedings of the 2015 international symposium in statistics / Brajendra C. Sutradhar editor
Advances and challenges in parametric and semi-parametric analysis for correlated data : Proceedings of the 2015 international symposium in statistics / Brajendra C. Sutradhar editor
Pubbl/distr/stampa [Cham], : Springer, 2016
Descrizione fisica XIX, 256 p. : ill. ; 24 cm
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020]
62-XX - Statistics [MSC 2020]
62H11 - Directional data; spatial statistics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62F12 - Asymptotic properties of parametric estimators [MSC 2020]
62H10 - Multivariate distribution of statistics [MSC 2020]
Soggetto non controllato Auto-correlation models
Longitudinal multinomial data
Measurement errors
Missing data
Outliers
Parametric longitudinal correlations
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0114272
[Cham], : Springer, 2016
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Advances and challenges in parametric and semi-parametric analysis for correlated data : proceedings of the 2015 international symposium in statistics / Brajendra C. Sutradhar editor
Advances and challenges in parametric and semi-parametric analysis for correlated data : proceedings of the 2015 international symposium in statistics / Brajendra C. Sutradhar editor
Edizione [[Cham] : Springer, 2016]
Pubbl/distr/stampa XIX, 256 p., : ill. ; 24 cm
Descrizione fisica Pubblicazione in formato elettronico
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020]
62-XX - Statistics [MSC 2020]
62H11 - Directional data; spatial statistics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62F12 - Asymptotic properties of parametric estimators [MSC 2020]
62H10 - Multivariate distribution of statistics [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0114272
XIX, 256 p., : ill. ; 24 cm
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury
Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury
Autore Islam, M. Ataharul
Pubbl/distr/stampa Singapore, : Springer, 2017
Descrizione fisica xix, 250 p. ; 24 cm
Altri autori (Persone) Chowdhury, Rafiqul Islam
Soggetto topico 62-XX - Statistics [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62N01 - Censored data models [MSC 2020]
62H10 - Multivariate distribution of statistics [MSC 2020]
62M02 - Markov processes: hypothesis testing [MSC 2020]
Soggetto non controllato Bivariate Geometric Model
Generalized Linear Models
Markov Chains
Overdispersion
Repeated Measures Data
Weibull Data
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0123582
Islam, M. Ataharul  
Singapore, : Springer, 2017
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury
Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury
Autore Islam, M. Ataharul
Edizione [Singapore : Springer, 2017]
Descrizione fisica Pubblicazione in formato elettronico
Altri autori (Persone) Chowdhury, Rafiqul Islam
Soggetto topico 62-XX - Statistics [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62N01 - Censored data models [MSC 2020]
62H10 - Multivariate distribution of statistics [MSC 2020]
62M02 - Markov processes: hypothesis testing [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0123582
Islam, M. Ataharul  
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Bayesian nonparametric data analysis / Peter Müller ... [et al.]
Bayesian nonparametric data analysis / Peter Müller ... [et al.]
Pubbl/distr/stampa [Cham], : Springer, 2015
Descrizione fisica XIV, 193 p. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020]
62G07 - Density estimation [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020]
62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020]
60G57 - Random measures [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62N02 - Estimation in survival analysis and censored data [MSC 2020]
Soggetto non controllato Bayesian Statistics
Clustering
Markov Chains
Mixture models
Monte Carlo
Nonparametrics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0113615
[Cham], : Springer, 2015
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Bayesian nonparametric data analysis / Peter Müller ... [et al.]
Bayesian nonparametric data analysis / Peter Müller ... [et al.]
Edizione [[Cham] : Springer, 2015]
Descrizione fisica Pubblicazione in formato elettronico
Soggetto topico 62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020]
62G07 - Density estimation [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020]
62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020]
60G57 - Random measures [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62N02 - Estimation in survival analysis and censored data [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0113615
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors
Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica vi, 417 p. : ill. ; 24 cm
Soggetto topico 60Gxx - Stochastic processes [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]
62F15 - Bayesian inference [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62M40 - Random fields; image analysis [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
Soggetto non controllato Applied Data Science
Applied Statistics
Bayesian Optimization
Bayesian Statistics
Bayesian computation
Bayesian neural networks
Big Data
Case Studies in Data Science
Case studies in Ecology
Case studies in Health
Composite likelihood
Markov random fields
Mixture models
Spatial models
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0132626
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors
Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors
Edizione [Cham : Springer, 2020]
Pubbl/distr/stampa vi, 417 p., : ill. ; 24 cm
Descrizione fisica Pubblicazione in formato elettronico
Soggetto topico 60Gxx - Stochastic processes [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]
62F15 - Bayesian inference [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62M40 - Random fields; image analysis [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0132626
vi, 417 p., : ill. ; 24 cm
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui