Introduction to probability : second revised edition

By: Charles M. GrinsteadContributor(s): J. Laurie SnellMaterial type: TextTextPublication details: Rhode Island: American Mathematical Society, [c1997]Edition: 2nd revised edDescription: 510 pISBN: 978-0-8218-9414-9Subject(s): MathematicsLOC classification: QA273
Contents:
1. Discrete Probability Distribustions 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
Summary: This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject. The text is also recommended for use in discrete probability courses. The material is organized so that the discrete and continuous probability discussions are presented in a separate, but parallel, manner. This organization does not emphasize an overly rigorous or formal view of probabililty and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions. --- summary provided by publisher
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1. Discrete Probability Distribustions
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

This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject.

The text is also recommended for use in discrete probability courses. The material is organized so that the discrete and continuous probability discussions are presented in a separate, but parallel, manner. This organization does not emphasize an overly rigorous or formal view of probabililty and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions. --- summary provided by publisher

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