Introduction to Statistics with Python (An)
portes grátis
Introduction to Statistics with Python (An)
With Applications in the Life Sciences
Haslwanter, Thomas
Springer-Verlag Berlin
11/2022
336
Dura
Inglês
9783030973704
15 a 20 dias
699
Descrição não disponível.
- I Python and Statistics.- 1 Introduction.- 2 Python.- 3 Data Input.- 4 Data Display.- II Distributions and Hypothesis Tests.- 5 Basic Statistical Concepts.- 6 Distributions of One Variable.- 7 Hypothesis Tests.- 8 Tests of Means of Numerical Data.- 9 Tests on Categorical Data.- 10 Analysis of Survival Times.- III Statistical Modelling.- 11 Finding Patterns in Signals.- 12 Linear Regression Models.- 13 Generalized Linear Models.- 14 Bayesian Statistics.- Appendices.- A Useful Programming Tools.- B Solutions.- C Equations for Confidence Intervals.- D Web Ressources.- Glossary.- Bibliography.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Python;statistical tests;data analysis;statistical methods;programming tools;applications in the life sciences;Python source code;introductory statistics;data visualization;hypothesis tests;survival times;patterns in data;time series;regression;Bayesian statistics;generalized linear models;statistical modelling;alternative to R
- I Python and Statistics.- 1 Introduction.- 2 Python.- 3 Data Input.- 4 Data Display.- II Distributions and Hypothesis Tests.- 5 Basic Statistical Concepts.- 6 Distributions of One Variable.- 7 Hypothesis Tests.- 8 Tests of Means of Numerical Data.- 9 Tests on Categorical Data.- 10 Analysis of Survival Times.- III Statistical Modelling.- 11 Finding Patterns in Signals.- 12 Linear Regression Models.- 13 Generalized Linear Models.- 14 Bayesian Statistics.- Appendices.- A Useful Programming Tools.- B Solutions.- C Equations for Confidence Intervals.- D Web Ressources.- Glossary.- Bibliography.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Python;statistical tests;data analysis;statistical methods;programming tools;applications in the life sciences;Python source code;introductory statistics;data visualization;hypothesis tests;survival times;patterns in data;time series;regression;Bayesian statistics;generalized linear models;statistical modelling;alternative to R
