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