000			03014nam a2200361 a 4500
005			20250930145259.0
008			130819s2012 nyua b 001 0 eng
020			_a9781107658561 (pbk.) _cRM152.69
039		9	_a201312311124 _bbaiti _c201312171157 _dros _y08-19-2013 _zros
040			_aDLC _cDLC _dDLC _dUKM
090			_aQA273.T564 2012
090			_aQA273 _b.T564 2012
100	1		_aTijms, H. C.
245	1	0	_aUnderstanding probability / _cHenk Tijms.
250			_a3rd ed.
260			_aNew York : _bCambridge University Press, _c2012.
300			_ax, 562 p. : _bill. ; _c23 cm.
504			_aIncludes bibliographical references (p. 556-557) and index.
505	8		_aMachine 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.
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'-- _cProvided by publisher.
650		0	_aProbabilities.
650		0	_aMathematical analysis. _960397
650		0	_aChance.
650		7	_aMATHEMATICS / Probability & Statistics / General _2bisacsh.
856	4	2	_3Cover image _uhttp://assets.cambridge.org/97811076/58561/cover/9781107658561.jpg
907			_a.b15704324 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kQA273.T564 2012
914			_avtls003537457
990			_abaiti
991			_aFakulti Sains dan Teknologi
998			_at _b2013-06-08 _cm _da _feng _gnyu _y0 _z.b15704324
999			_c682016 _d682016