This classic book is intended to be the first introduction to probability and statistics written with an emphasis on the analytic approach to the problems discussed. Topics include the axiomatic setup of probability theory, polynomial distribution, finite Markov chains, distribution functions and convolution, the laws of large numbers (weak and strong), characteristic functions, the central limit theorem, infinitely divisible distributions, and Markov processes. Written in a clear and concise style, this book by Gnedenko can serve as a textbook for undergraduate and graduate courses in probability.
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Extremely well written ... suitable for individual study ... Gnedenko's book is a milestone in the writing on probability theory. --Science
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Condition: New. Presents an introduction to probability and statistics. This book covers topics that include the axiomatic setup of probability theory, polynomial distribution, finite Markov chains, distribution functions and convolution, the laws of large numbers (weak and strong), characteristic functions, the central limit theorem, and Markov processes. Series: AMS Chelsea Publishing. Num Pages: 529 pages. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Weight in Grams: 891. . 2005. Reprint. Hardcover. . . . . Seller Inventory # V9780821837467
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Condition: New. Presents an introduction to probability and statistics. This book covers topics that include the axiomatic setup of probability theory, polynomial distribution, finite Markov chains, distribution functions and convolution, the laws of large numbers (weak and strong), characteristic functions, the central limit theorem, and Markov processes. Series: AMS Chelsea Publishing. Num Pages: 529 pages. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Weight in Grams: 891. . 2005. Reprint. Hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9780821837467
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