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Intuicyjne prawdopodobieństwo i procesy losowe z wykorzystaniem MATLAB autorstwa Steven M. Kay (2012,

Tekst oryginalny
Intuitive Probability and Random Processes Using MATLAB by Steven M. Kay (2012,
Stan:
Nowy
Cena:
US $70,00
Około281,33 zł
Wysyłka:
US $7,09 (około 28,49 zł) Wysyłka ekonomiczna. Zobacz szczegółydla wysyłki
Znajduje się w: New Orleans, Louisiana, Stany Zjednoczone
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Nr przedmiotu eBay: 225978583699

Parametry przedmiotu

Stan
Nowy: Nowa, nieczytana, nieużywana książka w idealnym stanie, wszystkie strony, bez uszkodzeń. Aby ...
ISBN
9780387241579
Publication Year
2005
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Intuitive Probability and Random Processes Using Matlab
Item Height
0.7in
Author
Steven M. Kay
Item Length
10in
Publisher
Springer
Item Width
7in
Item Weight
63 Oz
Number of Pages
Xviii, 834 Pages

O tym produkcie

Product Information

Featuring MATLAB examples to provide motivation for the theory to come, this introductory text incorporates MATLAB code to allow students to understand how the theory is applied in practice. Numerous computer exercises familiarize the student with MATLAB and how it is used to solve real problems. "Real-world" problems from various disciplines are emphasized in each chapter to illlustrate the application of the concepts. Beginning with discrete random variables, readers then encounter continuous random variables, thus minimizing confusion.

Product Identifiers

Publisher
Springer
ISBN-10
0387241574
ISBN-13
9780387241579
eBay Product ID (ePID)
47024695

Product Key Features

Author
Steven M. Kay
Publication Name
Intuitive Probability and Random Processes Using Matlab
Format
Hardcover
Language
English
Publication Year
2005
Type
Textbook
Number of Pages
Xviii, 834 Pages

Dimensions

Item Length
10in
Item Height
0.7in
Item Width
7in
Item Weight
63 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Tk5101-5105.9
Reviews
From the reviews:"The book is composed of 22 chapters. … This is a very readable book. … Kay's book undoubtedly will see its greatest use in engineering schools, but I think it would work nicely in other settings as well. … It is written in a clear and informal style that students will appreciate, its coverage is excellent, and the author's stated objective (to lessen the difficulty that students usually experience assimilating and applying probability and random processes) will, I predict, be met." (Ralph P. Russo, The American Statistician, Vol. 62 (2), May, 2008), From the reviews:"The book is composed of 22 chapters. … This is a very readable book. … Kay's book undoubtedly will see its greatest use in engineering schools, but I think it would work nicely in other settings as well. … It is written in a clear and informal style that students will appreciate, its coverage is excellent, and the author's stated objective (to lessen the difficulty that students usually experience assimilating and applying probability and random processes) will, I predict, be met." (Ralph P. Russo, The American Statistician, Vol. 62 (2), May, 2008)Kay's book occupies a unique place in the overcrowded market of textbooks on probability and random processes. … This new textbook is a breath of fresh air in the market of books devoted to probability and random processes. The book lives up to its ambition of setting a new standard for a modern, computer-based treatment of the subject. … I fully recommend its use in undergraduate and first-year graduate courses. (Osvaldo Simeone, IEEE Control Systems Magazine, Vol. 27, June, 2007), From the reviews: "The book is composed of 22 chapters. ... This is a very readable book. ... Kay's book undoubtedly will see its greatest use in engineering schools, but I think it would work nicely in other settings as well. ... It is written in a clear and informal style that students will appreciate, its coverage is excellent, and the author's stated objective (to lessen the difficulty that students usually experience assimilating and applying probability and random processes) will, I predict, be met." (Ralph P. Russo, The American Statistician, Vol. 62 (2), May, 2008) "Kay's book occupies a unique place in the overcrowded market of textbooks on probability and random processes. ... This new textbook is a breath of fresh air in the market of books devoted to probability and random processes. The book lives up to its ambition of setting a new standard for a modern, computer-based treatment of the subject. ... I fully recommend its use in undergraduate and first-year graduate courses." (Osvaldo Simeone, IEEE Control Systems Magazine, Vol. 27, June, 2007), From the reviews: "The book is composed of 22 chapters. … This is a very readable book. … Kay's book undoubtedly will see its greatest use in engineering schools, but I think it would work nicely in other settings as well. … It is written in a clear and informal style that students will appreciate, its coverage is excellent, and the author's stated objective (to lessen the difficulty that students usually experience assimilating and applying probability and random processes) will, I predict, be met." (Ralph P. Russo, The American Statistician, Vol. 62 (2), May, 2008) Kay's book occupies a unique place in the overcrowded market of textbooks on probability and random processes. … This new textbook is a breath of fresh air in the market of books devoted to probability and random processes. The book lives up to its ambition of setting a new standard for a modern, computer-based treatment of the subject. … I fully recommend its use in undergraduate and first-year graduate courses. (Osvaldo Simeone, IEEE Control Systems Magazine, Vol. 27, June, 2007)
Table of Content
Computer Simulation.- Basic Probability.- Conditional Probability.- Discrete Random Variables.- Expected Values for Discrete Random Variables.- Multiple Discrete Random Variables.- Conditional Probability Mass Functions.- Discrete N-Dimensional Random Variables.- Continuous Random Variables.- Expected Values for Continuous Random Variables.- Multiple Continuous Random Variables.- Conditional Probability Density Functions.- Continuous N-Dimensional Random Variables.- Probability and Moment Approximations Using Limit Theorems.- Basic Random Processes.- Wide Sense Stationary Random Processes.- Linear Systems and Wide Sense Stationary Random Processes.- Multiple Wide Sense Stationary Random Processes.- Gaussian Random Processes.- Poisson Random Processes.- Markov Chains.
Copyright Date
2006
Topic
Engineering (General), Mathematical & Statistical Software, Probability & Statistics / General, Telecommunications
Lccn
2005-051721
Dewey Decimal
519.2/01/13
Intended Audience
Scholarly & Professional
Dewey Edition
22
Illustrated
Yes
Genre
Computers, Technology & Engineering, Mathematics

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