000			03308nam a22002417a 4500
005			20260421124424.0
008			260421b |||||||| |||| 00| 0 eng d
020			_a9781886529236
028			_a: Savera Book Distributors _b: 4754, Akarshan Bhawan, 23 Ansari Road, Darya Ganj, New Delhi _c: 26-27/0009 _d:
082			_a519.2 BER
100			_aBertsekas, Dimitri P.
100			_a; Tsitsiklis, John N.
245			_a Introduction to Probability _c/ Dimitri P Bertsekas.
260			_a, Nashua _b: Athena Scientific _c, 2008.
300			_axi, 528p. _c: 24cm.
365			_b10000
520			_aAn intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. The 2nd edition is a substantial revision of the 1st edition, involving a reorganization of old material and the addition of new material. The length of the book has increased by about 25 percent. The main new feature of the 2nd edition is thorough introduction to Bayesian and classical statistics. The book is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject, as well as the fundamental concepts and methods of statistical inference, both Bayesian and classical. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a particular course. These topics include transforms, sums of random variables, a fairly detailed introduction to Bernoulli, Poisson, and Markov processes. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis has been just intuitively explained in the text, but is developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems. Written by two professors of the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, and members of the prestigious US National Academy of Engineering, the book has been widely adopted for classroom use in introductory probability courses within the USA and abroad.From a Review of the 1st Edition:...it trains the intuition to acquire probabilistic feeling. This book explains every single concept it enunciates. This is its main strength, deep explanation, and not just examples that happen to explain. Bertsekas and Tsitsiklis leave nothing to chance. The probability to misinterpret a concept or not understand it is just... zero. Numerous examples, figures, and end-of-chapter problems strengthen the understanding. Also of invaluable help is the book's web site, where solutions to the problems can be found-as well as much more information pertaining to probability, and also more problem sets.
650			_aProbability
650			_aEconomics
650			_aProbabilistic Systems Analysis
700			_aDimitri P Bertsekas
942			_cBOOK
999			_c67950 _d67950