000			02294cam a2200409 i 4500
001			20764148
003			OSt
005			20220419020908.0
008			181025s2019 flu b 001 0 eng c
010			_a 2018042685
020			_a9781138369917 _q(hardback ; _qalk. paper)
020			_z9780429428357 _q(ebook)
020			_z9780429766732 _qebook
040			_aLBSOR/DLC _beng _cLBSOR _erda _dDLC
041			_aEng
042			_apcc
050	0	0	_aQA273 _b.B5922 2019
082	0	0	_a519.2 BLI _223 _bBLI
092			_223
100	1		_aBlitzstein, Joseph K., _eauthor.
245	1	0	_aIntroduction to probability / _cJoseph K. Blitzstein, Jessica Hwang.
250			_aSecond edition.
264		1	_aBoca Raton : _bcrc Press/Taylor & Francis Group, _c[2019]
300			_axv, 619 pages ; _c26 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
504			_aIncludes bibliographic references and index.
505	0		_aProbability and counting -- Conditional probability -- Random variables and their distributions -- Expectation -- Continuous random variables -- Moments -- Joint distributions -- Transformations -- Conditional expectation -- Inequalities and limit theorems -- Markov chains -- Markov chain Monte Carlo -- Poisson processes.
520			_a"Undergraduate probability book that assumes one-semester of calculus. One key is the emphasis on "stories" for the probability distributions (which I mean in both an intuitive and technical sense): there are a dozen or so key distributions (Normal, Binomial, Poisson, etc.) that are incredibly widely-used in statistics, but a lot of books just write down formulas for them without explaining clearly why these particular distributions are so important, or how they are all connected. Each of these distributions has a "story" (a natural application where it arises), and thinking about stories makes the distributions easier to remember, understand, and work with"-- _cProvided by publisher.
546			_aEnglish
650		0	_aProbabilities _vTextbooks.
700	1		_aHwang, Jessica, _eauthor.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c47 _d47