| 000 | 02019cam a2200337 a 4500 | ||
|---|---|---|---|
| 001 | 17238378 | ||
| 003 | KE-NaKCAU | ||
| 005 | 20140611094254.0 | ||
| 008 | 120402s2012 nyua b 001 0 eng | ||
| 010 | _a 2012010536 | ||
| 020 | _a9781107658561 | ||
| 040 | _cKE-NaKCAU | ||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQA273 _b.T48 2012 |
| 082 | 0 | 0 |
_a519.2 _223 |
| 084 |
_aMAT029000 _2bisacsh |
||
| 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 and 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"-- | ||
| 650 | 0 |
_aProbabilities. _9338 |
|
| 650 | 0 |
_aMathematical analysis. _91083 |
|
| 650 | 0 | _aChance. | |
| 650 | 7 |
_aMATHEMATICS / Probability & Statistics / General _2bisacsh. |
|
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
| 942 |
_2lcc _cBK |
||
| 999 |
_c13288 _d13288 |
||