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- 2012010536 contributor B12439178.
- 2012010536 created "2012.".
- 2012010536 date "2012".
- 2012010536 date "2012.".
- 2012010536 dateCopyrighted "2012.".
- 2012010536 description "Includes bibliographical references (p. 556-557) and index.".
- 2012010536 description "Machine generated contents note: Preface; Introduction; Part I. Probability in Action: 1. Probability questions; 2. The law of large numbers and simulation; 3. Probabilities in everyday life; 4. Rare events and lotteries; 5. Probability and statistics; 6. Chance trees and Bayes' rule; Part II. Essentials of Probability: 7. Foundations of probability theory; 8. Conditional probability and Bayes; 9. Basic rules for discrete random variables; 10. Continuous random variables; 11. Jointly distributed random variables; 12. Multivariate normal distribution; 13. Conditioning by random variables; 14. Generating functions; 15. Discrete-time Markov chains; 16. Continuous-time Markov chains; Appendix; Counting methods and ex; Recommended reading; Answers to odd-numbered problems; Bibliography; Index.".
- 2012010536 extent "x, 562 p. :".
- 2012010536 identifier "9781107658561 (pbk.)".
- 2012010536 identifier 9781107658561.jpg.
- 2012010536 issued "2012".
- 2012010536 issued "2012.".
- 2012010536 language "eng".
- 2012010536 publisher "New York : Cambridge University Press,".
- 2012010536 subject "519.2 23".
- 2012010536 subject "Chance.".
- 2012010536 subject "MATHEMATICS / Probability & Statistics / General bisacsh.".
- 2012010536 subject "Mathematical analysis.".
- 2012010536 subject "Probabilities.".
- 2012010536 subject "QA273 .T48 2012".
- 2012010536 tableOfContents "Machine generated contents note: Preface; Introduction; Part I. Probability in Action: 1. Probability questions; 2. The law of large numbers and simulation; 3. Probabilities in everyday life; 4. Rare events and lotteries; 5. Probability and statistics; 6. Chance trees and Bayes' rule; Part II. Essentials of Probability: 7. Foundations of probability theory; 8. Conditional probability and Bayes; 9. Basic rules for discrete random variables; 10. Continuous random variables; 11. Jointly distributed random variables; 12. Multivariate normal distribution; 13. Conditioning by random variables; 14. Generating functions; 15. Discrete-time Markov chains; 16. Continuous-time Markov chains; Appendix; Counting methods and ex; Recommended reading; Answers to odd-numbered problems; Bibliography; Index.".
- 2012010536 title "Understanding probability / Henk Tijms.".
- 2012010536 type "text".
