Intuitive probability and random processes using MATLAB [electronic resource] / Steven M. Kay.

By:

Kay, Steven M, 1951-

Material type: Text

TextPublication details: New York, N.Y. ; London : Springer, 2006.Content type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

0387241574 (acid-free paper)
0387241582 (e-book)
978-0-387-24157-9

Subject(s):

DDC classification:

519.20113 22

LOC classification:

QA273 .K326 2006

Online resources:

Click here to access online

Summary: This book is an introduction to probability and random processes that merges theory with practice. Based on the author's belief that only "hands on" experience with the material can promote intuitive understanding the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
E-Resources	Main Library E-Resources	519.20113 K23 (Browse shelf(Opens below))	Available		E000425

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Previous	519.2 P685 Probability	519.2 Sch314 Probability and statistics for engineers	519.2 Sh562 Probability, random variables, and random processes : theory and signal processing applications /	519.20113 K23 Intuitive probability and random processes using MATLAB	519.22 M623 Theory of stochastic objects probability, stochastic processes, and inference /	519.23 F837 Brownian motion, martingales, and stochastic calculus /	519.3 An635 Game theory, the Internet of Things and 5G networks : utilizing game theoretic models to characterize challenging scenarios /	Next

Formerly CIP. Uk

Includes bibliographical references and index.

This book is an introduction to probability and random processes that merges theory with practice. Based on the author's belief that only "hands on" experience with the material can promote intuitive understanding the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications.

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Intuitive probability and random processes using MATLAB [electronic resource] / Steven M. Kay.

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