Think Stats Probability and Statistics for Programmers
Think Stats is an introduction to Probability and Statistics for Python programmers. Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encourag...
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Place of publication not identified]
Green Tea Press
[2014]
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| Edition: | 2e |
| Series: | Open textbook library.
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| Subjects: | |
| Online Access: | Access online version |
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Table of Contents:
- Preface
- 1 Exploratory data analysis
- 2 Distributions
- 3 Probability mass functions
- 4 Cumulative distribution functions
- 5 Modeling distributions
- 6 Probability density functions
- 7 Relationships between variables
- 8 Estimation
- 9 Hypothesis testing
- 10 Linear least squares
- 11 Regression
- 12 Time series analysis
- 13 Survival analysis
- 14 Analytic methods