Directional Statistics for Innovative Applications : A Bicentennial Tribute to Florence Nightingale / Ashis SenGupta, Barry C. Arnold editors |
Pubbl/distr/stampa | Singapore, : Springer, 2022 |
Descrizione fisica | xix, 488 p. : ill. ; 24 cm |
Soggetto non controllato |
Big data analytics
Directional Statistics Multivariate Analysis Probability distributions Regression analysis Statistical machine learning |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0278371 |
Singapore, : Springer, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Directional Statistics for Innovative Applications : A Bicentennial Tribute to Florence Nightingale / Ashis SenGupta, Barry C. Arnold editors |
Pubbl/distr/stampa | Singapore, : Springer, 2022 |
Descrizione fisica | xix, 488 p. : ill. ; 24 cm |
Soggetto topico |
00B30 - Festschriften [MSC 2020]
01A70 - Biographies, obituaries, personalia, bibliographies [MSC 2020] 62-XX - Statistics [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
Soggetto non controllato |
Big data analytics
Directional Statistics Multivariate Analysis Probability distributions Regression analysis Statistical machine learning |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00278371 |
Singapore, : 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 |
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 |
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 | ||
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Springer Handbook of Engineering Statistics / Hoang Pham editor |
Edizione | [2. ed] |
Pubbl/distr/stampa | London, : Springer, 2023 |
Descrizione fisica | xxvi, 1150 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] |
Soggetto non controllato |
Applied Statistics and Engineering
Data Science and Analytics Engineering Statistics Engineering and Business Management Statistical machine learning |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00279097 |
London, : Springer, 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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