000			03275cam a22003258i 4500
020			_a111854871X
020			_a9781118548493 _q(ePub)
020			_a1118548493
020			_a9781118548714 _q(electronic bk.)
020			_a9781119549345 _q(electronic bk.)
020			_a1119549345 _q(electronic bk.)
020			_z9781118123348 _q(hardcover)
040			_cCUS
072		7	_aMAT _x003000 _2bisacsh
072		7	_aMAT _x029000 _2bisacsh
100	1		_aBalakrishnan, N., _d1956- _eauthor.
245	1	0	_aIntroduction to probability : _bmodels and applications / _cN. Balakrishnan (McMaster University, Canada), Markos V. Koutras (University of Piraeus, Greece), Politis Konstantinos.
260		1	_aHoboken, NJ : _bWiley, _c2019.
263			_a1903
300			_a1 online resource
505	0		_aThe concept of probability -- Finite sample spaces : combinatorial methods -- Conditional probability : independent events -- Discrete random variables and distributions -- Some important discrete distributions -- Continuous random variables -- Some important continuous distributions.
520			_aAn essential guide to the concepts of probability theory that puts the focus on models and applications Introduction to Probability offers an authoritative text that presents the main ideas and concepts, as well as the theoretical background, models, and applications of probability. The authors-noted experts in the field-include a review of problems where probabilistic models naturally arise, discuss the appropriate statistical methods, and explain how these models fit into the data presented. To aid in understanding, the book presents many real-world exercises and solutions that appear after each section within a chapter. A wide-range of topics are covered that include concepts of probability, univariate discrete distribution, univariate continuous distributions, bivariate discrete random variables, bivariate continuous random variables, stochastic independence-multivariate random variables, and many more. Designed as a useful guide, the text contains theory of probability, definitions, charts, examples, illustrations, problems and solutions, and a glossary. This important text: -Includes classroom-tested problems and solutions to probability exercises -Highlights real-world exercises designed to make clear the concepts presented -Uses Matlab software to illustrate the text's computer exercises -Features applications representing worldwide situations and processes -Offers a Student Solutions Manual that contains select solutions to numerous exercises found in the book Written for students majoring in statistics, engineering, operations research, computer science, physics, and mathematics, Introduction to Probability: Models and Applications is an accessible text that explores the basic concepts of probability and includes detailed information on models and applications.
650		0	_aProbabilities _vTextbooks.
650		7	_aMATHEMATICS _xApplied. _2bisacsh
650		7	_aMATHEMATICS _xProbability & Statistics _xGeneral. _2bisacsh
650		7	_aProbabilities. _2fast _0(OCoLC)fst01077737
700	1		_aKoutras, Markos V., _eauthor.
700	1		_aKonstantinos, Politis, _d1966- _eauthor.
856	4	0	_uhttps://doi.org/10.1002/9781119549345 _zWiley Online Library
942			_cEBK
999			_c208833 _d208833