An Introduction to Statistics with Python With Applications in the Life Sciences
Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Fo...
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| Otros Autores: | |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing
2022.
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| Edición: | 2nd ed |
| Colección: | Springer eBooks.
Statistics and Computing, |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b47245414*spi |
Tabla de Contenidos:
- 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.
