MARC Record from marc_nuls

LEADER: 02866cam 2200385 a 4500
001 9922701700001661
005 20150423144935.0
008 120402s2012 nyua b 001 0 eng
010 $a 2012010536
020 $a9781107658561 (pbk.)
020 $a110765856X (pbk.)
035 $a(CSdNU)u522527-01national_inst
035 $a(OCoLC)779264864
035 $a(OCoLC)779264864
040 $aDLC$beng$cDLC$dYDX$dBTCTA$dCDX$dOCLCO$dYDXCP$dYNK$dUKMGB$dBWX$dIAD $dIUL
042 $apcc
049 $aCNUM
050 00 $aQA273$b.T48 2012
082 00 $a519.2$223
084 $aMAT029000$2bisacsh
100 1 $aTijms, H. C.
245 10 $aUnderstanding probability /$cHenk Tijms.
250 $a3rd ed.
260 $aNew York :$bCambridge University Press,$c2012.
300 $ax, 562 p. :$bill. ;$c24 cm.
504 $aIncludes bibliographical references (p. 556-557) and index.
505 0 $aPart I. Probability in Action: 1. Probability questions; 2. 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.
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.
650 0 $aChance.
947 $fSCIENCE$hCIRCSTACKS$p$45.60$q1
949 $aQA273 .T48 2012$i31786102821441
994 $a92$bCNU
999 $aQA 273 .T48 2012$wLC$c1$i31786102821441$lCIRCSTACKS$mNULS$rY$sY$tBOOK $u5/23/2013