Info
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 | ||
| ||
New theory of discriminant analysis after R. Fisher : advanced research by the feature selection method for microarray data / Shuichi Shinmura
| New theory of discriminant analysis after R. Fisher : advanced research by the feature selection method for microarray data / Shuichi Shinmura |
| Autore | Shinmura, Shuichi |
| Pubbl/distr/stampa | [Singapore], : Springer, 2016 |
| Descrizione fisica | XX, 208 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] |
| Soggetto non controllato |
100-fold Cross Validation for Small Sample Method
Comparison of Eight LDFs Matroska Feature Selection Method for Microarray Data Model Selection by Best Model Simple Structure of Microarray Data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0115044 |
|
Shinmura, Shuichi
|
||
| [Singapore], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
New theory of discriminant analysis after R. Fisher : advanced research by the feature selection method for microarray data / Shuichi Shinmura
| New theory of discriminant analysis after R. Fisher : advanced research by the feature selection method for microarray data / Shuichi Shinmura |
| Autore | Shinmura, Shuichi |
| Pubbl/distr/stampa | [Singapore], : Springer, 2016 |
| Descrizione fisica | XX, 208 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G09 - Nonparametric statistical resampling methods [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
100-fold Cross Validation for Small Sample Method
Comparison of Eight LDFs Matroska Feature Selection Method for Microarray Data Model Selection by Best Model Simple Structure of Microarray Data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00115044 |
|
Shinmura, Shuichi
|
||
| [Singapore], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
New theory of discriminant analysis after R. Fisher : advanced research by the feature selection method for microarray data / Shuichi Shinmura
| New theory of discriminant analysis after R. Fisher : advanced research by the feature selection method for microarray data / Shuichi Shinmura |
| Autore | Shinmura, Shuichi |
| Edizione | [[Singapore] : Springer, 2016] |
| Pubbl/distr/stampa | XX, 208 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0115044 |
|
Shinmura, Shuichi
|
||
| XX, 208 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric statistics : 4. ISNPS, Salerno, Italy, June 2018 / Michele La Rocca, Brunero Liseo, Luigi Salmaso editors
| 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 | ||
| ||
Nonparametric statistics : 4. ISNPS, Salerno, Italy, June 2018 / Michele La Rocca, Brunero Liseo, Luigi Salmaso editors
| 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 |
62G05 - Nonparametric estimation [MSC 2020]
62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62Gxx - Nonparametric inference [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-VAN00249540 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric statistics : 2. ISNPS, Cádiz, june 2014 / Ricardo Cao, Wenceslao González Manteiga, Juan Romo editors
| 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 | ||
| ||
Nonparametric statistics : 2. ISNPS, Cádiz, june 2014 / Ricardo Cao, Wenceslao González Manteiga, Juan Romo editors
| 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 |
62G05 - Nonparametric estimation [MSC 2020]
62G07 - Density estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G30 - Order statistics; empirical distribution functions [MSC 2020] 62G32 - Statistics of extreme values; tail inference [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62Gxx - Nonparametric inference [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-VAN00115099 |
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
