An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter

• Autore: Haslwanter, Thomas
• Pubblicazione: XVII, 278 p., : ill. ; 24 cm
• Edizione: [Cham] : Springer, 2016
• 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]
• Titolo autorizzato: Introduction to statistics with Python
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: SUN0114408
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://dx.doi.org/10.1007/978-3-319-28316-6
• Serie: Statistics and computing New York . -Springer.