Book: Introductory Probability (Grinstead and Snell)
- Page ID
- 3120
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This text is designed for an introductory probability course taken by sophomores, juniors, and seniors in mathematics, the physical and social sciences, engineering, and computer science. It presents a thorough treatment of probability ideas and techniques necessary for a firm understanding of the subject. The text can be used in a variety of course lengths, levels, and areas of emphasis.
Front Matter
1: Discrete Probability Distributions
2: Continuous Probability Densities
3: Combinatorics
4: Conditional Probability
5: Distributions and Densities
6: Expected Value and Variance
7: Sums of Random Variables
8: Law of Large Numbers
9: Central Limit Theorem
10: Generating Functions
11: Markov Chains
12: Random Walks
Back Matter