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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| 040 | |a MnU |b eng |c MnU | ||
| 050 | 4 | |a QA76 | |
| 100 | 1 | |a Downey, Allen B. |e author | |
| 245 | 0 | 0 | |a Think Stats |b Probability and Statistics for Programmers |c Allen Downey |
| 250 | |a 2e | ||
| 264 | 2 | |a Minneapolis, MN |b Open Textbook Library | |
| 264 | 1 | |a [Place of publication not identified] |b Green Tea Press |c [2014] | |
| 264 | 4 | |c ©2014. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 0 | |a Open textbook library. | |
| 505 | 0 | |a 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 | |
| 520 | 0 | |a 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 encouraged to work on a project with real datasets. If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding. | |
| 542 | 1 | |f Attribution-NonCommercial | |
| 546 | |a In English. | ||
| 588 | 0 | |a Description based on print resource | |
| 650 | 0 | |a Computer Science |v Textbooks | |
| 710 | 2 | |a Open Textbook Library |e distributor | |
| 856 | 4 | 0 | |u https://open.umn.edu/opentextbooks/textbooks/287 |z Access online version |