Stochastic Convergence is popular PDF and ePub book, written by Eugene Lukacs in 2014-07-03, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Stochastic Convergence can be Read Online from any device for your convenience.
Stochastic Convergence Book PDF Summary
Stochastic Convergence, Second Edition covers the theoretical aspects of random power series dealing with convergence problems. This edition contains eight chapters and starts with an introduction to the basic concepts of stochastic convergence. The succeeding chapters deal with infinite sequences of random variables and their convergences, as well as the consideration of certain sets of random variables as a space. These topics are followed by discussions of the infinite series of random variables, specifically the lemmas of Borel-Cantelli and the zero-one laws. Other chapters evaluate the power series whose coefficients are random variables, the stochastic integrals and derivatives, and the characteristics of the normal distribution of infinite sums of random variables. The last chapter discusses the characterization of the Wiener process and of stable processes. This book will prove useful to mathematicians and advance mathematics students.
Detail Book of Stochastic Convergence PDF
- Author : Eugene Lukacs
- Release : 03 July 2014
- Publisher : Academic Press
- ISBN : 9781483218588
- Genre : Mathematics
- Total Page : 215 pages
- Language : English
- PDF File Size : 17,7 Mb
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