The Theory of Probability (AMS Chelsea Publishing)

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9780821837467: The Theory of Probability (AMS Chelsea Publishing)
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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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Book Description American Mathematical Society, United States, 2006. Hardback. Condition: New. 4th Revised edition. Language: English . Brand New Book. 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 of this book 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. Seller Inventory # AAN9780821837467

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Book Description American Mathematical Society, United States, 2006. Hardback. Condition: New. 4th Revised edition. Language: English . Brand New Book. 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 of this book 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. Seller Inventory # AAN9780821837467

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Book Description American Mathematical Society, 2005. Hardcover. Condition: New. 4th Revised edition. Seller Inventory # DADAX082183746X

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