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Probability (Graduate Texts in Mathematics, nr. 95)

De (autor) Traducere de Stephen S. Wilson
Notă GoodReads:
en Limba Engleză Paperback – 22 Dec 1996
In the Preface to the first edition, originally published in 1980, we mentioned that this book was based on the author's lectures in the Department of Mechanics and Mathematics of the Lomonosov University in Moscow, which were issued, in part, in mimeographed form under the title "Probabil­ ity, Statistics, and Stochastic Processors, I, II" and published by that Univer­ sity. Our original intention in writing the first edition of this book was to divide the contents into three parts: probability, mathematical statistics, and theory of stochastic processes, which corresponds to an outline of a three­ semester course of lectures for university students of mathematics. However, in the course of preparing the book, it turned out to be impossible to realize this intention completely, since a full exposition would have required too much space. In this connection, we stated in the Preface to the first edition that only probability theory and the theory of random processes with discrete time were really adequately presented. Essentially all of the first edition is reproduced in this second edition. Changes and corrections are, as a rule, editorial, taking into account com­ ments made by both Russian and foreign readers of the Russian original and ofthe English and Germantranslations [Sll]. The author is grateful to all of these readers for their attention, advice, and helpful criticisms. In this second English edition, new material also has been added, as follows: in Chapter 111, §5, §§7-12; in Chapter IV, §5; in Chapter VII, §§8-10.
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ISBN-13: 9781475725414
ISBN-10: 1475725418
Pagini: 624
Dimensiuni: 155 x 235 mm
Ediția: Softcover reprint of the original 2nd ed. 1996
Editura: Springer
Colecția Springer
Seria Graduate Texts in Mathematics

Locul publicării: New York, NY, United States


I Elementary Probability Theory.- II Mathematical Foundations of Probability Theory.- III Convergence of Probability Measures. Central Limit Theorem.- IV Sequences and Sums of Independent Random Variables.- V Stationary (Strict Sense) Random Sequences and Ergodic Theory.- VI Stationary (Wide Sense) Random Sequences. L2 Theory.- VII Sequences of Random Variables that Form Martingales.- VIII Sequences of Random Variables that Form Markov Chains.- Historical and Bibliographical Notes.- References.- Index of Symbols.