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Titlebook: Probability: A Graduate Course; Allan Gut Book 20051st edition Springer-Verlag New York 2005 Probability theory.Random variable.central li

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書目名稱Probability: A Graduate Course
編輯Allan Gut
視頻videohttp://file.papertrans.cn/757/756992/756992.mp4
概述Provides readers with a thorough body of basic results and minor extentions with references for more extended material.Includes supplementary material: .Request lecturer material:
叢書名稱Springer Texts in Statistics
圖書封面Titlebook: Probability: A Graduate Course;  Allan Gut Book 20051st edition Springer-Verlag New York 2005 Probability theory.Random variable.central li
描述."I know it‘s trivial, but I have forgotten why". This is a slightly exaggerated characterization of the unfortunate attitude of many mathematicians toward the surrounding world. The point of departure of this book is the opposite. ..This textbook on the theory of probability is aimed at graduate students, with the ideology that rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to chapters on inequalities, characteristic functions, convergence, followed by the three main subjects, the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales. ..The main feature of this book is the combination of rigor and detail. Instead of being sketchy and leaving lots of technicalities to be filled in by the reader or as easy exercises, a more solid foundation is obtained by providing more of those not so trivial matters and by integrating some of those not so simple exercises and problems into the body of text. ..Some results have been given mo
出版日期Book 20051st edition
關(guān)鍵詞Probability theory; Random variable; central limit theorem; convergence; law of large numbers; law of the
版次1
doihttps://doi.org/10.1007/b138932
isbn_softcover978-1-4419-1985-4
isbn_ebook978-0-387-27332-7Series ISSN 1431-875X Series E-ISSN 2197-4136
issn_series 1431-875X
copyrightSpringer-Verlag New York 2005
The information of publication is updating

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Introductory Measure Theory, probability theory is ., which is concerned with creating principles, methods, and criteria in order to treat data pertaining to such (random) phenomena or data from experiments and other observations of the real world, by using, for example, the theories and knowledge available from the theory of
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