Chapter: Linear Regression Models

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Home > An Introduction to Statistics with Python: With Applications in the Life Sciences > Linear Regression Models

An Introduction to Statistics with Python: With Applications in the Life Sciences |

Thomas Haslwanter

Springer International Publishing

An Introduction to Statistics with Python: With Applications in the Life Sciences

Linear Regression Models

Chapter Info

Authors

Thomas Haslwanter

ARI Id

1664526362363_2055277

Access

Not Available Free

Pages

183-220

DOI

10.1007/978-3-319-28316-6_11

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-28316-6_11

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xvii
Front Matter		1-1
Why Statistics?	Thomas Haslwanter	3-4
Python	Thomas Haslwanter	5-42
Data Input	Thomas Haslwanter	43-49
Display of Statistical Data	Thomas Haslwanter	51-71
Front Matter		73-73
Background	Thomas Haslwanter	75-88
Distributions of One Variable	Thomas Haslwanter	89-120
Hypothesis Tests	Thomas Haslwanter	121-137
Tests of Means of Numerical Data	Thomas Haslwanter	139-157
Tests on Categorical Data	Thomas Haslwanter	159-173
Analysis of Survival Times	Thomas Haslwanter	175-180
Front Matter		181-181
Linear Regression Models	Thomas Haslwanter	183-220
Multivariate Data Analysis	Thomas Haslwanter	221-225
Tests on Discrete Data	Thomas Haslwanter	227-236
Bayesian Statistics	Thomas Haslwanter	237-243
Back Matter		245-278
Chapters/Headings	Author(s)	Pages	Info

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