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Titlebook: Measure Theory and Probability Theory; Krishna B. Athreya,Soumendra N. Lahiri Textbook 2006 Springer-Verlag New York 2006 Markov Chain.Mar

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書目名稱Measure Theory and Probability Theory
編輯Krishna B. Athreya,Soumendra N. Lahiri
視頻videohttp://file.papertrans.cn/629/628048/628048.mp4
概述Presents the main concepts and results in measure theory and probability theory in a simple and easy-to-understand way.Provides heuristic explanations behind the theory to help students see the big pi
叢書名稱Springer Texts in Statistics
圖書封面Titlebook: Measure Theory and Probability Theory;  Krishna B. Athreya,Soumendra N. Lahiri Textbook 2006 Springer-Verlag New York 2006 Markov Chain.Mar
描述This book arose out of two graduate courses that the authors have taught duringthepastseveralyears;the?rstonebeingonmeasuretheoryfollowed by the second one on advanced probability theory. The traditional approach to a ?rst course in measure theory, such as in Royden (1988), is to teach the Lebesgue measure on the real line, then the p di?erentation theorems of Lebesgue, L -spaces on R, and do general m- sure at the end of the course with one main application to the construction of product measures. This approach does have the pedagogic advantage of seeing one concrete case ?rst before going to the general one. But this also has the disadvantage in making many students’ perspective on m- sure theory somewhat narrow. It leads them to think only in terms of the Lebesgue measure on the real line and to believe that measure theory is intimately tied to the topology of the real line. As students of statistics, probability, physics, engineering, economics, and biology know very well, there are mass distributions that are typically nonuniform, and hence it is useful to gain a general perspective. This book attempts to provide that general perspective right from the beginning. The opening c
出版日期Textbook 2006
關(guān)鍵詞Markov Chain; Markov Chains; Measure; Probability distribution; Probability space; Probability theory; Sto
版次1
doihttps://doi.org/10.1007/978-0-387-35434-7
isbn_softcover978-1-4419-2191-8
isbn_ebook978-0-387-35434-7Series ISSN 1431-875X Series E-ISSN 2197-4136
issn_series 1431-875X
copyrightSpringer-Verlag New York 2006
The information of publication is updating

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Textbook 2006ts of statistics, probability, physics, engineering, economics, and biology know very well, there are mass distributions that are typically nonuniform, and hence it is useful to gain a general perspective. This book attempts to provide that general perspective right from the beginning. The opening c
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978-1-4419-2191-8Springer-Verlag New York 2006
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