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INTUITIVE PROBABILITY AND RANDOM PROCESSES USING MATLAB®

Product Details
 
Synopsis
Chapters: 1570 in Denmark, 1570 in England, 1570 in France, 1570 in Ireland, 1570 in Japan, 1570 in Lithuania, 1570 in Scotland, Treaty of Stettin, Ridolfi Plot, Regnans in Excelsis, Battle of Anegawa, Peace of Saint-Germain-En-Laye, Battle of Bun Garbhain, Treasons Act 1570, Siege of Kanegasaki, Siege of Hanazawa, Siege of Ch k -Ji, Sandomierz Agreement. Source: Wikipedia. Pages: 38. Not illustrated. Free updates online. Purchase includes a free trial membership in the publisher's book club where you can select from more than a million books without charge. Excerpt: The Treaty of Stettin of December 13, 1570, ended the Northern Seven Years' War fought between Sweden and Denmark with her internally fragmented alliance of Lubeck and Poland. It also settled Swedish, Danish and Holy Roman Imperial claims regarding the Livonian War. Unfavorable for Sweden, it assured Danish hegemony in Northern Europe for a short period. Yet, because of its inconclusiveness, it did not prevent further warfare between Denmark and Sweden ending only in the 1720s. The Kalmar Union comprising Sweden, Denmark and Norway, had broken apart in 1523. Frederick II of Denmark attempted to restore the Union under his rule. Frederick underlined his claim by using the Union's three crowns in his coat of arms and invaded Sweden in 1563, both actions are considered the starting events of the Seven Years' War. While the Danes had upper hand in land battles and captured Alvsborg, the Swedes performed better in naval battles and in Livonia, which had been secularized before and now was a subject of territorial competition of the surrounding powers. In July 1570, Maximilian II, Holy Roman Emperor initiated a peace congress in Stettin (Szczecin), aiming to mediate between Sweden and Denmark. Several diplomats acted as mediators: The host, Pomeranian duke Johann Friedrich of Pomerania-Stettin, acted as head of the delegates sent by his emperor, Maximilian; French en...More: http: //booksllc.net/?id=258478Featuring 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 illustrate the application of the concepts. Beginning with discrete random variables, readers then encounter continuous random variables, thus minimizing confusion.Intuitive Probability and Random Processes using MATLAB(r) 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. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are: *heavy reliance on computer simulation for illustration and student exercises *the incorporation of MATLAB programs and code segments *discussion of discrete random variables followed by continuous random variables to minimize confusion *summary sections at the beginning of each chapter *in-line equation explanations *warnings on common errors and pitfalls *over 750 problems designed to help the reader assimilate and extend the concepts Intuitive Probability and Random Processes using MATLAB(r) is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book. About the Author Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.Intuitive Probability and Random Processes using MATLABA? is an introduction to probability and random processes that merges theory with practice. Based on the authora'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. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are: *heavy reliance on computer simulation for illustration and student exercises *the incorporation of MATLAB programs and code segments *discussion of discrete random variables followed by continuous random variables to minimize confusion *summary sections at the beginning of each chapter *in-line equation explanations *warnings on common errors and pitfalls *over 750 problems designed to help the reader assimilate and extend the concepts Intuitive Probability and Random Processes using MATLABA? is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book. About the Author Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.Intuitive Probability and Random Processes using MATLABr 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. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are: *heavy reliance on computer simulation for illustration and student exercises *the incorporation of MATLAB programs and code segments *discussion of discrete random variables followed by continuous random variables to minimize confusion *summary sections at the beginning of each chapter *in-line equation explanations *warnings on common errors and pitfalls *over 750 problems designed to help the reader assimilate and extend the concepts Intuitive Probability and Random Processes using MATLABr is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book.Intuitive Probability and Random Processes using MATLAB® 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. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are:*heavy reliance on computer simulation for illustration and student exercises*the incorporation of MATLAB programs and code segments*discussion of discrete random variables followed by continuous random variables to minimize confusion*summary sections at the beginning of each chapter*in-line equation explanations*warnings on common errors and pitfalls*over 750 problems designed to help the reader assimilate and extend the concepts Intuitive Probability and Random Processes using MATLAB® is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book. About the Author Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.Intuitive Probability and Random Processes using MATLAB� 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. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are:*heavy reliance on computer simulation for illustration and student exercises *the incorporation of MATLAB programs and code segments *discussion of discrete random variables followed by continuous random variables to minimize confusion *summary sections at the beginning of each chapter *in-line equation explanations *warnings on common errors and pitfalls *over 750 problems designed to help the reader assimilate and extend the concepts Intuitive Probability and Random Processes using MATLAB� is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book. About the AuthorSteven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.This book covers:- The use of MATLAB examples to provide motivation for the theory to come.- The incorporation of MATLAB code to allow students to understand how the theory is applied in practice.- Numerous computer exercises to familiarize the student with MATLAB and how it is used to solve real problems.- The incorporation of "real-world" problems from various disciplines in each chapter to illustrate the application of the chapter concepts.- Discussion of discrete random variables first, followed by continuous random variables to minimize confusion.


Product Identifiers
ISBN-10
0387241574
ISBN-13
9780387241579

Key Details
Author
Steven M. Kay
Number Of Pages
834 pages
Format
ebook
Publication Date
2012-03-05
Language
English
Publisher
Springer
Publication Year
2012


Additional Details
Number of Volumes
1 vol.
Copyright Date
2006
Illustrated
Yes


Dimensions
Weight
63 Oz
Height
0.7 In.
Width
7 In.
Length
10 In.


Target Audience
Group
Scholarly & Professional


Classification Method
LCCN
2005-051721
LC Classification Number
TK1-9971QA76.75-76.7
Dewey Decimal
519.2/01/13
Dewey Edition
22


Table Of Content
Introduction.- 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.- Appendix A: Glossary of Symbols and Abbreviations.- Appendix B: Assorted Math Facts and Formulas.- Appendix C: Linear and Matrix Algebra.- Appendix D: Summary of Signals, Linear Transforms, and Linear Systems.- Appendix E: Answers to Selected Problems.


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) "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)

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