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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 | ||
| ||
Extremal Families and Systems of Sufficient Statistics / Steffen L. Lauritzen
| Extremal Families and Systems of Sufficient Statistics / Steffen L. Lauritzen |
| Autore | Lauritzen, Steffen L. |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1988 |
| Descrizione fisica | xv, 268 p. : ill. ; 24 cm |
| Soggetto topico | 62B05 - Sufficient statistics and fields [MSC 2020] |
| Soggetto non controllato |
Likelihood
Mathematical statistics Maxima Statistical models Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0269014 |
|
Lauritzen, Steffen L.
|
||
| New York, : Springer-Verlag, 1988 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Extremal Families and Systems of Sufficient Statistics / Steffen L. Lauritzen
| Extremal Families and Systems of Sufficient Statistics / Steffen L. Lauritzen |
| Autore | Lauritzen, Steffen L. |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1988 |
| Descrizione fisica | xv, 268 p. : ill. ; 24 cm |
| Soggetto topico | 62B05 - Sufficient statistics and fields [MSC 2020] |
| Soggetto non controllato |
Likelihood
Mathematical statistics Maxima Statistical models Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00269014 |
|
Lauritzen, Steffen L.
|
||
| New York, : Springer-Verlag, 1988 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Interdisciplinary Statistics in Mexico : AME Virtual Meeting, September 10–11, 2020, and 34 FNE, Acatlán, Mexico, September 22–24, 2021 : Selected Contributions / Isadora Antoniano-Villalobos ... [et al.] editors
| Interdisciplinary Statistics in Mexico : AME Virtual Meeting, September 10–11, 2020, and 34 FNE, Acatlán, Mexico, September 22–24, 2021 : Selected Contributions / Isadora Antoniano-Villalobos ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | viii, 230 p. : ill. ; 24 cm |
| Soggetto topico |
34Fxx - Ordinary differential equations and systems with randomness [MSC 2020]
60G15 - Gaussian processes [MSC 2020] 60J60 - Diffusion processes [MSC 2020] 62-XX - Statistics [MSC 2020] 62B05 - Sufficient statistics and fields [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] 62F10 - Point estimation [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62N01 - Censored data models [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P15 - Applications of statistics to psychology [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 91D20 - Mathematical geography and demography [MSC 2020] 91D25 - Spatial models in sociology [MSC 2020] 92D30 - Epidemiology [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Bayesian nonparametric statistics Big Data Biostatistics Geostatistics Multivariate Analysis Python for statistics Statistical machine learning Statistics and epidemiology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277668 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Interdisciplinary Statistics in Mexico : AME Virtual Meeting, September 10–11, 2020, and 34 FNE, Acatlán, Mexico, September 22–24, 2021 : Selected Contributions / Isadora Antoniano-Villalobos ... [et al.] editors
| Interdisciplinary Statistics in Mexico : AME Virtual Meeting, September 10–11, 2020, and 34 FNE, Acatlán, Mexico, September 22–24, 2021 : Selected Contributions / Isadora Antoniano-Villalobos ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | viii, 230 p. : ill. ; 24 cm |
| Soggetto topico |
34Fxx - Ordinary differential equations and systems with randomness [MSC 2020]
60G15 - Gaussian processes [MSC 2020] 60J60 - Diffusion processes [MSC 2020] 62-XX - Statistics [MSC 2020] 62B05 - Sufficient statistics and fields [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] 62F10 - Point estimation [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62N01 - Censored data models [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P15 - Applications of statistics to psychology [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 91D20 - Mathematical geography and demography [MSC 2020] 91D25 - Spatial models in sociology [MSC 2020] 92D30 - Epidemiology [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Bayesian nonparametric statistics Big Data Biostatistics Geostatistics Multivariate Analysis Python for statistics Statistical machine learning Statistics and epidemiology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00277668 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Measures with symmetry properties / Werner Schindler
| Measures with symmetry properties / Werner Schindler |
| Autore | Schindler, Werner |
| Pubbl/distr/stampa | Berlin, : Springer, 2003 |
| Descrizione fisica | VIII, 167 p. ; 24 cm. |
| Soggetto topico |
22Exx - Lie groups [MSC 2020]
28C10 - Set functions and measures on topological groups, Haar measures, invariant measures [MSC 2020] 65C10 - Random number generation in numerical analysis [MSC 2020] 62B05 - Sufficient statistics and fields [MSC 2020] |
| ISBN | 8-3-540-00235-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0051511 |
|
Schindler, Werner
|
||
| Berlin, : Springer, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Measures with symmetry properties / Werner Schindler
| Measures with symmetry properties / Werner Schindler |
| Autore | Schindler, Werner |
| Pubbl/distr/stampa | Berlin, : Springer, 2003 |
| Descrizione fisica | VIII, 167 p. ; 24 cm |
| Soggetto topico |
22Exx - Lie groups [MSC 2020]
28C10 - Set functions and measures on topological groups, Haar measures, invariant measures [MSC 2020] 65C10 - Random number generation in numerical analysis [MSC 2020] 62B05 - Sufficient statistics and fields [MSC 2020] |
| Soggetto non controllato |
Invariant measures
Measure and integration theory Statistics Stochastic simulations Sufficient statistics |
| ISBN | 978-35-400-0235-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0051511 |
|
Schindler, Werner
|
||
| Berlin, : Springer, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Measures with symmetry properties / Werner Schindler
| Measures with symmetry properties / Werner Schindler |
| Autore | Schindler, Werner |
| Pubbl/distr/stampa | Berlin, : Springer, 2003 |
| Descrizione fisica | VIII, 167 p. ; 24 cm |
| Soggetto topico |
22Exx - Lie groups [MSC 2020]
28C10 - Set functions and measures on topological groups, Haar measures, invariant measures [MSC 2020] 62B05 - Sufficient statistics and fields [MSC 2020] 65C10 - Random number generation in numerical analysis [MSC 2020] |
| Soggetto non controllato |
Invariant measures
Measure and integration theory Statistics Stochastic simulations Sufficient statistics |
| ISBN | 978-35-400-0235-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00051511 |
|
Schindler, Werner
|
||
| Berlin, : Springer, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
