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# ðŸ“™ Random Sums and Branching Stochastic Processes by Ibrahim Rahimov (auth.) â€” pdf free

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The aim of this monograph is to show how random sums (that is, the summation of a random number of dependent random variables) may be used to analyse the behaviour of branching stochastic processes. The author shows how these techniques may yield insight and new results when applied to a wide range of branching processes. In particular, processes with reproduction-dependent and non-stationary immigration may be analysed quite simply from this perspective. On the other hand some new characterizations of the branching process without immigration dealing with its genealogical tree can be studied. Readers are assumed to have a firm grounding in probability and stochastic processes, but otherwise this account is self-contained. As a result, researchers and graduate students tackling problems in this area will find this makes a useful contribution to their work.

- Series:
**Lecture Notes in Statistics 96** - Author:
**Ibrahim Rahimov (auth.)** - Year:
**1995** - Publisher:
**Springer-Verlag New York** - Language:
**English** - ISBN:
**978-0-387-94446-3,978-1-4612-4216-1**

- File size:
**5 228 339** - Format:
**pdf**

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The purpose, level, and style of this new edition conform to the tenets set forth in the original preface. The authors continue with their tack of developing simultaneously theory and applications, intertwined so that they refurbish and elucidate each ot...

The fourth edition of "Probability, Random Variables and Stochastic Processes" has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/gradu...

The fourth edition of "Probability, Random Variables and Stochastic Processes" has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/gradu...

The volume includes lecture notes and research papers by participants of the Seventh Symposium on Probability and Stochastic Processes held in Mexico City. The lecture notes introduce recent advances in stochastic calculus with respect to fractional Brown...

The Third Edition emphasizes a concentrated revision of Parts II & III (leaving Part I virtually intact). The later sections show greater elaboration of the basic concepts of stochastic processes, typical sequences of random variables, and a greater empha...

The Third Edition emphasizes a concentrated revision of Parts II & III (leaving Part I virtually intact). The later sections show greater elaboration of the basic concepts of stochastic processes, typical sequences of random variables, and a greater empha...

A comprehensive treatment of stochastic systems beginning with the foundations of probability and ending with stochastic optimal control. The book divides into three interrelated topics. First, the concepts of probability theory, random variables and stoc...

Stochastic processes are necessary ingredients for building models of a wide variety of phenomena exhibiting time varying randomness. In a lively and imaginative presentation, studded with examples, exercises, and applications, and supported by inclusion ...

An excellent introduction for electrical, electronics engineers and computer scientists who would like to have a good, basic understanding of the stochastic processes! This clearly written book responds to the increasing interest in the study of system...