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020			_a9789812703712
040			_aNISER LIBRARY _beng _cNISER LIBRARY
082			_a519.21 _bROS-F
100			_aRosenthal, Jeffrey S.
245			_aFirst look at rigorous probability theory
250			_a2nd edition
260			_aHackensack, N.J. : _bWorld Scientific, _c2006.
300			_axvi, 219 pages : _bill. ; _c23 cm.
504			_aIncludes bibliographical references (p. 209-211) and index.
520			_aThis textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results. Nevertheless, the treatment is focused and accessible, with the measure theory and mathematical details presented in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. In this new edition, many exercises and small additional topics have been added and existing ones expanded. The text strikes an appropriate balance, rigorously developing probability theory while avoiding unnecessary detail.
650			_aProbabilities
650			_aMeasure theory
650			_aProbability measures
856			_3Table of content _uhttps://www.worldscientific.com/doi/reader/10.1142/9789812772534_fmatter
856			_3Reviews _uhttps://www.goodreads.com/book/show/1896580.First_Look_At_Rigorous_Probability_Theory_A?ref=nav_sb_ss_1_13#CommunityReviews
942			_2udc _cBK
999			_c35815 _d35815