An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
Autore | Haslwanter, Thomas |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XVII, 278 p. : ill. ; 24 cm |
Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Alternative to R
Applications in life sciences Data analysis Introductory Statistics Programming Python Python source code Statistical Methods Statistical tests Statistics and computing |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0114408 |
Haslwanter, Thomas | ||
[Cham], : Springer, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
Autore | Haslwanter, Thomas |
Edizione | [[Cham] : Springer, 2016] |
Pubbl/distr/stampa | XVII, 278 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0114408 |
Haslwanter, Thomas | ||
XVII, 278 p., : ill. ; 24 cm | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Topics in nonparametric statistics : proceedings of the first conference of the International society for nonparametric statistics / Michael G. Akritas, S. N. Lahiri, Dimitris N. Politis editors |
Pubbl/distr/stampa | New York, : Springer, 2014 |
Descrizione fisica | XVI, 367 p. : ill. ; 24 cm |
Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] |
Soggetto non controllato |
Function estimation
Functional data High-Dimensional Data Nonparametric Statistics Nonparametric regression Resampling methods Statistical learning |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0102905 |
New York, : Springer, 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Topics in nonparametric statistics : proceedings of the first conference of the International society for nonparametric statistics / Michael G. Akritas, S. N. Lahiri, Dimitris N. Politis editors |
Edizione | [New York : Springer, 2014] |
Pubbl/distr/stampa | XVI, 367 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] |
ISBN | 8-1-4939-0568-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0102905 |
XVI, 367 p., : ill. ; 24 cm | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
U-Statistics, Mm-Estimators and Resampling / Arup Bose, Snigdhansu Chatterjee |
Autore | Bose, Arup |
Pubbl/distr/stampa | Singapore, : Springer ; New Delhi, : Hindustan book agency, 2018 |
Descrizione fisica | xv, 171 p. : ill. ; 24 cm |
Altri autori (Persone) | Chatterjee, Snigdhansu |
Soggetto topico |
62Gxx - Nonparametric inference [MSC 2020]
62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] |
Soggetto non controllato |
Classical bootstrap
M-estimator Multivariate median regression Resampling U-statistics |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0125181 |
Bose, Arup | ||
Singapore, : Springer ; New Delhi, : Hindustan book agency, 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
U-Statistics, Mm-Estimators and Resampling / Arup Bose, Snigdhansu Chatterjee |
Autore | Bose, Arup |
Edizione | [Singapore : Springer] |
Pubbl/distr/stampa | xv, 171 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Altri autori (Persone) | Chatterjee, Snigdhansu |
Soggetto topico |
62Gxx - Nonparametric inference [MSC 2020]
62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0125181 |
Bose, Arup | ||
xv, 171 p., : ill. ; 24 cm | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|