Corpus Linguistics and Statistics with R : Introduction to Quantitative Methods in Linguistics / Guillaume Desagulier |
Autore | Desagulier, Guillaume |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | xiii, 353 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 91F20 - Linguistics [MSC 2020] |
Soggetto non controllato |
Categorical data
Clustering methods Data organization Frequency data Linguistics with R Modeling Quantitative methods for linguistics R package linguistics Regression methods Statistics for linguistics Textual data analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0124143 |
Desagulier, Guillaume | ||
Cham, : Springer, 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Corpus Linguistics and Statistics with R : Introduction to Quantitative Methods in Linguistics / Guillaume Desagulier |
Autore | Desagulier, Guillaume |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | xiii, 353 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
68-XX - Computer science [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 91F20 - Linguistics [MSC 2020] |
Soggetto non controllato |
Categorical data
Clustering methods Data organization Frequency data Linguistics with R Modeling Quantitative methods for linguistics R package linguistics Regression methods Statistics for linguistics Textual data analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00124143 |
Desagulier, Guillaume | ||
Cham, : Springer, 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Modern Statistical Methods for Health Research / Yichuan Zhao, (Din) Ding-Geng Chen editors |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | xxv, 496 p. : ill. ; 24 cm |
Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62N05 - Reliability and life testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R10 - Functional data analysis [MSC 2020] |
Soggetto non controllato |
Alzheimer's disease
Biological network Classification Classifier Clinical trial Clustering methods Electronic health records Flase discovery rate Fluorence image data Functional data analysis Gene expression analysis Genome wide association studies Infectious disease epidemiology Support vector machine Surveillance streams Survival analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0274980 |
Cham, : Springer, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Modern Statistical Methods for Health Research / Yichuan Zhao, (Din) Ding-Geng Chen editors |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | xxv, 496 p. : ill. ; 24 cm |
Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62N05 - Reliability and life testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R10 - Functional data analysis [MSC 2020] |
Soggetto non controllato |
Alzheimer's disease
Biological network Classification Classifier Clinical trial Clustering methods Electronic health records Flase discovery rate Fluorence image data Functional data analysis Gene expression analysis Genome wide association studies Infectious disease epidemiology Support vector machine Surveillance streams Survival analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00274980 |
Cham, : Springer, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|