000			01863nam a2200241 a 4500
001			50856
003			0000000000
005			20240411193249.0
008			230303n s 000 0 eng d
020			_a9780429766732
100	1		_aBlitzstein, Joseph K.
245	1	0	_aIntroduction to probability _h[electronic resource] / _cJoseph K Blitzstein; Jessica Hwang.
250			_a2nd ed.
260			_aBoca Raton : _bCRC Press, _c2019.
300			_a1 online resource.
490	1		_aTexts in Statistical Science
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"-- Provided by publisher.
650		7	_aProbabilities _vTextbooks. _2sears
700	1		_aHwang, Jessica., _eAuthor.
856			_uhttps://drive.google.com/file/d/1ozucHOYbS4VcYvwGuekGy805tNIQd0_f/view?usp=sharing
999			_c16155 _d16155