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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
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| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 |
| 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 |
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Bhattacharya, Rabi
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| XI, 389 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Asymptotic Statistics in Insurance Risk Theory / Yasutaka Shimizu
| Asymptotic Statistics in Insurance Risk Theory / Yasutaka Shimizu |
| Autore | Shimizu, Yasutaka |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | x, 110 p. : ill. ; 24 cm |
| Soggetto topico |
91B05 - Risk models (general) [MSC 2020]
60G51 - Processes with independent increments; Lévy processes [MSC 2020] 62-XX - Statistics [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] 91G70 - Statistical methods; risk measures [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 91G05 - Actuarial mathematics [MSC 2020] |
| Soggetto non controllato |
Asymptotic Theory
Gerber Shiu function Risk management Ruin Probabilities Statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275424 |
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Shimizu, Yasutaka
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| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Contributions to a General Asymptotic Statistical Theory / J. Pfanzagl ; With the Assistance of W. Wefelmeyer
| Contributions to a General Asymptotic Statistical Theory / J. Pfanzagl ; With the Assistance of W. Wefelmeyer |
| Autore | Pfanzagl, Johann |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1982 |
| Descrizione fisica | vii, 315 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62C05 - General considerations in statistical decision theory [MSC 2020] 62F05 - Asymptotic properties of parametric tests [MSC 2020] |
| Soggetto non controllato |
Asymptotic effectiveness
Asymptotic test Estimator Likelihood Median Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268493 |
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Pfanzagl, Johann
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| New York, : Springer-Verlag, 1982 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Functional statistics and applications : selected papers from MICPS-2013 / Elias Ould Saïd, Idir Ouassou, Mustapha Rachdi editors
| Functional statistics and applications : selected papers from MICPS-2013 / Elias Ould Saïd, Idir Ouassou, Mustapha Rachdi editors |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XII, 164 p. : ill. ; 24 cm |
| Soggetto topico |
60H07 - Stochastic calculus of variations and the Malliavin calculus [MSC 2020]
60H30 - Applications of stochastic analysis (to PDEs, etc.) [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 60H40 - White noise theory [MSC 2020] |
| Soggetto non controllato |
Blockshrink wavelets
Dynalets Extreme conditional quantiles Functional data Local linear estimator Queueing Theory Robust regression Spherically symmetric distribution |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113740 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Functional statistics and applications : selected papers from MICPS-2013 / Elias Ould Saïd, Idir Ouassou, Mustapha Rachdi editors
| Functional statistics and applications : selected papers from MICPS-2013 / Elias Ould Saïd, Idir Ouassou, Mustapha Rachdi editors |
| Edizione | [[Cham] : Springer, 2015] |
| Pubbl/distr/stampa | XII, 164 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
60H07 - Stochastic calculus of variations and the Malliavin calculus [MSC 2020]
60H30 - Applications of stochastic analysis (to PDEs, etc.) [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 60H40 - White noise theory [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0113740 |
| XII, 164 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Large Sample Techniques for Statistics / Jiming Jiang
| Large Sample Techniques for Statistics / Jiming Jiang |
| Autore | Jiang, Jiming |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xv, 685 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
60Fxx - Limit theorems in probability theory [MSC 2020] 60G44 - Martingales with continuous parameter [MSC 2020] 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] 62-XX - Statistics [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Approximations
Asymptotic Theory Large sample theory Limit Theorems Mathematical statistics Parametric statistics Random matrix theory Random variables Statistical Applications |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277746 |
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Jiang, Jiming
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Lectures on the nearest neighbor method / Gérard Biau, Luc Devroye
| Lectures on the nearest neighbor method / Gérard Biau, Luc Devroye |
| Autore | Biau, Gérard |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | IX, 290 p. : ill. ; 24 cm |
| Altri autori (Persone) | Devroye, Luc |
| Soggetto topico |
60Cxx - Combinatorial probability [MSC 2020]
60Dxx - Geometric probability and stochastic geometry [MSC 2020] 68T10 - Pattern recognition, speech recognition [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62G07 - Density estimation [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G30 - Order statistics; empirical distribution functions [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Density Estimation
Nearest Neighbor Method Order Statistics Regression Estimation Stone's theorem |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113880 |
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Biau, Gérard
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| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Lectures on the nearest neighbor method / Gérard Biau, Luc Devroye
| Lectures on the nearest neighbor method / Gérard Biau, Luc Devroye |
| Autore | Biau, Gérard |
| Edizione | [[Cham] : Springer, 2015] |
| Pubbl/distr/stampa | IX, 290 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Devroye, Luc |
| Soggetto topico |
60Cxx - Combinatorial probability [MSC 2020]
60Dxx - Geometric probability and stochastic geometry [MSC 2020] 68T10 - Pattern recognition, speech recognition [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62G07 - Density estimation [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G30 - Order statistics; empirical distribution functions [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0113880 |
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Biau, Gérard
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| IX, 290 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Nonparametric Estimation of Probability Densities and Regression Curves / E. A. Nadaraya ; translated by Samuel Kotz
| Nonparametric Estimation of Probability Densities and Regression Curves / E. A. Nadaraya ; translated by Samuel Kotz |
| Autore | Nadaraya, Elizbar A. |
| Pubbl/distr/stampa | Dordrecht, : Kluwer, 1989 |
| Descrizione fisica | VIII, 213 p. ; 25 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G07 - Density estimation [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] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] |
| Soggetto non controllato |
Classification
Estimator Maxima Probability |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0267357 |
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Nadaraya, Elizbar A.
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| Dordrecht, : Kluwer, 1989 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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