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010 a| 2012010536;

020 a| 9781107658561 (pbk.);

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040 a| DLCc| DLCd| DLCd| WaSeSS;

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050 00 a| QA273b| .T48 2012;

082 00 a| 519.22| 23;

084 a| MAT0290002| bisacsh;

100 1 a| Tijms, H. C.=| ^A200903;

245 10 a| Understanding probabilityh| [electronic resource] /c| Henk Tijms.;

250 a| 3rd ed.;

260 a| New York :b| Cambridge University Press,;

300 a| x, 562 p. :b| ill. ;c| 23 cm.;

504 a| Includes bibliographical references (p. 556-557) and index.;

505 8 a| 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.;

506 a| Available only to authorized users.;

520 a| "Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises and examples, and it includes new sections on Bayesian inference, Markov chain Monte Carlo simulation, hitting probabilities in random walks and Brownian motion, and a new chapter on continuous-time Markov chains with applications. Here you will find all the material taught in an introductory probability course. The first part of the book, with its easy-going style, can be read by anybody with a reasonable background in high school mathematics. The second part of the book requires a basic course in calculus"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Probabilities.=| ^A14253;

650 0 a| Mathematical analysis.=| ^A18530;

650 0 a| Chance.=| ^A28082;

650 7 a| MATHEMATICS / Probability & Statistics / General2| bisacsh.;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=944763;

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Understanding probability / Henk Tijms.

Author/creator	Tijms, H. C.
Format	Electronic
Edition	3rd ed.
Publication Info	New York : Cambridge University Press,
Description	x, 562 p. : ill. ; 23 cm.
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Probabilities. Mathematical analysis. Chance.

Contents	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.
Abstract	"Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises and examples, and it includes new sections on Bayesian inference, Markov chain Monte Carlo simulation, hitting probabilities in random walks and Brownian motion, and a new chapter on continuous-time Markov chains with applications. Here you will find all the material taught in an introductory probability course. The first part of the book, with its easy-going style, can be read by anybody with a reasonable background in high school mathematics. The second part of the book requires a basic course in calculus"-- Provided by publisher.
Bibliography note	Includes bibliographical references (p. 556-557) and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2012010536
ISBN	9781107658561 (pbk.)

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Understanding probability / Henk Tijms.

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