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 |
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 | ||
|
Time series analysis and forecasting : selected contributions from the ITISE conference / Ignacio Rojas, Héctor Pomares editors |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XIX, 384 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
58-XX - Global analysis, analysis on manifolds [MSC 2020] 37-XX - Dynamical systems and ergodic theory [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] 37M10 - Time series analysis of dynamical systems [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] |
Soggetto non controllato |
Applications in Industry
Applications in computer science Applications in econometrics Big Data Forecasting High-Dimensional Data Machine learning On-line learning Real-life problems Statistical methods for time series Time Series Analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0115445 |
[Cham], : Springer, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Time series analysis and forecasting : selected contributions from the ITISE conference / Ignacio Rojas, Héctor Pomares editors |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XIX, 384 p. : ill. ; 24 cm |
Soggetto topico |
37-XX - Dynamical systems and ergodic theory [MSC 2020]
37M10 - Time series analysis of dynamical systems [MSC 2020] 58-XX - Global analysis, analysis on manifolds [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 68-XX - Computer science [MSC 2020] |
Soggetto non controllato |
Applications in Industry
Applications in computer science Applications in econometrics Big Data Forecasting High-Dimensional Data Machine learning On-line learning Real-life problems Statistical methods for time series Time Series Analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00115445 |
[Cham], : Springer, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|