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 |
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 | ||
|
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 |
Pfanzagl, Johann | ||
New York, : Springer-Verlag, 1982 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
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 | ||
|
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 | ||
|
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 |
Biau, Gérard | ||
[Cham], : Springer, 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
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 |
Biau, Gérard | ||
IX, 290 p., : ill. ; 24 cm | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
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 |
Nadaraya, Elizbar A. | ||
Dordrecht, : Kluwer, 1989 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Nonparametric statistics : 4. ISNPS, Salerno, Italy, June 2018 / Michele La Rocca, Brunero Liseo, Luigi Salmaso editors |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | x, 547 p. : ill. ; 24 cm |
Soggetto topico |
62Gxx - Nonparametric inference [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] |
Soggetto non controllato |
Big Data
Dependent data Heavy-Tailed distribution High-Dimensional Data Kernel methods Machine learning Nonparametric Statistics Nonparametric inference Nonparametric smoother Resampling Statistical learning Survey sampling Time series |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0249540 |
Cham, : Springer, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Nonparametric statistics : 2. ISNPS, Cádiz, june 2014 / Ricardo Cao, Wenceslao González Manteiga, Juan Romo editors |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XI, 224 p. : ill. ; 24 cm |
Soggetto topico |
62G07 - Density estimation [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G32 - Statistics of extreme values; tail inference [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G30 - Order statistics; empirical distribution functions [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] |
Soggetto non controllato |
Applications in econometrics
Applications in the life sciences Curve estimation Dependent data Engineering Applications High-Dimensional Data Nonparametric filtering Nonparametric inference Nonparametric tests Regression smoothing |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0115099 |
[Cham], : Springer, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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