Applied Probability
This is a "first course" in the sense that it presumes no previous course in probability. The mathematical prerequisites are ordinary calculus and the elements of matrix algebra. A few standard series and integrals are used, and double integrals are evaluated as iterated integrals. The rea...
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Place of publication not identified]
OpenStax CNX
[2009]
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| Series: | Open textbook library.
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| Subjects: | |
| Online Access: | Access online version |
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Table of Contents:
- 1 Preface
- 2 Probability Systems
- 3 Minterm Analysis
- 4 Conditional Probability
- 5 Independence of Events
- 6 Conditional Independence
- 7 Random Variables and Probabilities
- 8 Distribution and Density Functions
- 9 Random Vectors and joint Distributions
- 10 Independent Classes of Random Variables
- 11 Functions of Random Variables
- 12 Mathematical Expectation
- 13 Variance, Covariance, Linear Regression
- 14 Transform Methods
- 15 Conditional Expectation, Regression
- 16 Random Selection
- 17 Conditional Independence, Given a Random Vector
- 18 Appendices