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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 | ||
| ||
A Graduate Course on Statistical Inference / Bing Li, G. Jogesh Babu
| A Graduate Course on Statistical Inference / Bing Li, G. Jogesh Babu |
| Autore | Li, Bing |
| Pubbl/distr/stampa | New York, : Springer, 2019 |
| Descrizione fisica | xii, 379 p. ; 24 cm |
| Altri autori (Persone) | Babu, Jogesh |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Bxx - Sufficiency and information [MSC 2020] 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] |
| Soggetto non controllato |
Asymptotic Theory
Bayes Bayesian Cauchy-Schwarz Conditional inference Differentiable under the integral sign Empirical Bayes Estimating equations Finite-sample estimation Finite-sample theory Generalized Linear Models Le Cam-Hajek Local Asymptotic Normal Posterior distributions Quasi-likelihood estimation Shrinkage estimates Statistical estimation Statistical inference Stochastic equicontinuity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127251 |
|
Li, Bing
|
||
| New York, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
A Graduate Course on Statistical Inference / Bing Li, G. Jogesh Babu
| A Graduate Course on Statistical Inference / Bing Li, G. Jogesh Babu |
| Autore | Li, Bing |
| Pubbl/distr/stampa | New York, : Springer, 2019 |
| Descrizione fisica | xii, 379 p. ; 24 cm |
| Altri autori (Persone) | Babu, Jogesh |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Bxx - Sufficiency and information [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] |
| Soggetto non controllato |
Asymptotic Theory
Bayes Bayesian Cauchy-Schwarz Conditional inference Differentiable under the integral sign Empirical Bayes Estimating equations Finite-sample estimation Finite-sample theory Generalized Linear Models Le Cam-Hajek Local Asymptotic Normal Posterior distributions Quasi-likelihood estimation Shrinkage estimates Statistical estimation Statistical inference Stochastic equicontinuity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00127251 |
|
Li, Bing
|
||
| New York, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
A Graduate Course on Statistical Inference / Bing Li, G. Jogesh Babu
| A Graduate Course on Statistical Inference / Bing Li, G. Jogesh Babu |
| Autore | Li, Bing |
| Edizione | [New York : Springer, 2019] |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Babu, Jogesh |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Bxx - Sufficiency and information [MSC 2020] 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0127251 |
|
Li, Bing
|
||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Adaptive Algorithms and Stochastic Approximations / Albert Benveniste, Michel Métivier, Pierre Priouret ; Translated from the French by Stephen S. Wilson
| Adaptive Algorithms and Stochastic Approximations / Albert Benveniste, Michel Métivier, Pierre Priouret ; Translated from the French by Stephen S. Wilson |
| Autore | Benveniste, Albert |
| Pubbl/distr/stampa | Berlin, : Springer-Verlag, 1990 |
| Descrizione fisica | xi, 365 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Métivier, Michel
Priouret, Pierre |
| Soggetto topico |
60H30 - Applications of stochastic analysis (to PDEs, etc.) [MSC 2020]
62E20 - Asymptotic distribution theory in statistics [MSC 2020] 93C40 - Adaptive control/observation systems [MSC 2020] 93E11 - Filtering in stochastic control theory [MSC 2020] 93E12 - Identification in stochastic control theory [MSC 2020] |
| Soggetto non controllato |
Behavior
Cognition Control Ergodicity Extension Intelligence Markov Chains Modeling Moments Parameter Pattern recognition Rang Statistics Stochastic Approximations System identification |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00286714 |
|
Benveniste, Albert
|
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| Berlin, : Springer-Verlag, 1990 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors
| Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | ix, 207 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
62Mxx - Inference from stochastic processes [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] |
| Soggetto non controllato |
Analytical methods
Asymptotic analysis Bootstrap Estimation and hypothesis testing Fisher information Heavy tails Long-memory processes Minimization of divergence Probability distribution Quantile regression Regression Resampling Shape constrains Statistical inference Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123903 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors
| Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | ix, 207 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] |
| Soggetto non controllato |
Analytical methods
Asymptotic analysis Bootstrap Estimation and hypothesis testing Fisher information Heavy tails Long-memory processes Minimization of divergence Probability distribution Quantile regression Regression Resampling Shape constrains Statistical inference Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123903 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors
| Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors |
| Edizione | [Cham : Springer, 2017] |
| Pubbl/distr/stampa | ix, 207 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
62Mxx - Inference from stochastic processes [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0123903 |
| ix, 207 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
