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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 | ||
| ||
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 |
60J05 - Discrete-time Markov processes on general state spaces [MSC 2020]
62-XX - Statistics [MSC 2020] 62B05 - Sufficient statistics and fields [MSC 2020] 62C05 - General considerations in statistical decision theory [MSC 2020] 62Dxx - Statistical sampling theory and related topics [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 65C05 - Monte Carlo methods [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-VAN00114246 |
|
Bhattacharya, Rabi
|
||
| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 | ||
| ||
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 | ||
| ||
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]
62-XX - Statistics [MSC 2020] 62F10 - Point estimation [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62H11 - Directional data; spatial statistics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] |
| Soggetto non controllato |
Auto-correlation models
Longitudinal multinomial data Measurement error Missing data Outliers Parametric longitudinal correlations |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114272 |
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 | ||
| ||
An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces / Sergei Pereverzyev
| An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces / Sergei Pereverzyev |
| Autore | Pereverzyev, Sergei |
| Pubbl/distr/stampa | Cham, : Birkhäuser, : Springer, 2022 |
| Descrizione fisica | xiv, 152 p. : ill. ; 24 cm |
| Soggetto topico |
62G05 - Nonparametric estimation [MSC 2020]
65C20 - Probabilistic models, generic numerical methods in probability and statistics [MSC 2020] 65J20 - Numerical solutions of ill-posed problems in abstract spaces; regularization [MSC 2020] 68Q32 - Computational learning theory [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Deep Learning Examples Integral operators Learning theory Linear regularization Tikhonov RKHS deep neural networks Ranking learning Regression learning Regularization theory Reinforcement Learning Reproducing Kernel Hilbert spaces Statistical learning Unsupervised Domain Adaptation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00276167 |
|
Pereverzyev, Sergei
|
||
| Cham, : Birkhäuser, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 | ||
| ||
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]
62G05 - Nonparametric estimation [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M02 - Markov processes: hypothesis testing [MSC 2020] 62N01 - Censored data models [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-VAN00123582 |
|
Islam, M. Ataharul
|
||
| Singapore, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 | ||
| ||
