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Home > Crafts, Hobbies & Home > Cooking > Probability and Random Processes

Probability and Random Processes

by Krishnan, Venkatarama
 
 
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Probability and Random Processes
"This book is the third volume in the Wiley Survival Guides in Engineering and Science, a set of book designed for both the professional and layman with the objective of providing a clear overview of a particular subject and its various interconnections. Probability and Random Processes will concentrate on the 40 most frequently encountered distributions and facilitate understanding by presenting clear examples and solutions. Probability is used ubiquitously in every branch of science and engineering. For example, medical imaging techniques like tomography and cat scans extensively use probability concepts. Many of the topics discussed are referred to every day by practitioners and students of engineering and science. "


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Title of ebook: Probability and Random Processes
ISBN: 9780471998280
parent-ISBN: 9780471703549
Publisher: Wiley-Interscience
Internet download file size: 18042 kb
Pages: 723
Published: 06-2006
Released online for download: 06-27-2006
Author of eBook: Krishnan, Venkatarama
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Probability and Random Processes


Chapter One

Sets, Fields, and Events

B 1.1 SET DEFINITIONS

The concept of sets play an important role in probability. We will define a set in the following paragraph.

Definition of Set

A set is a collection of objects called elements. The elements of a set can also be sets. Sets are usually represented by uppercase letters A, and elements are usually represented by lowercase letters a. Thus

A = {[a.sub.1]; [a.sub.2]; ... , [a.sub.n]} (1.1.1)

will mean that the set A contains the elements [a.sub.1], [a.sub.2], ... , [a.sub.n]. Conversely, we can write that [a.sub.k] is an element of A as

[a.sub.k] [member of] A (1.1.2)

and [a.sub.k] is not an element of A as

[a.sub.k] [??] A (1.1.3)

A finite set contains a finite number of elements, for example, S = {2,4,6}. Infinite sets will have either countably infinite elements suc ... read full excerpt from Probability and Random Processes ebook



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