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01.Algebra for Athletes 2nd Edition
02.Advanced Mathematics for Engineers with Applications in Stochastic Processes
03.Pseudo-Matroids and Cuts of Matroids
04.Dynamic Fuzzy Logic and its Applications
05.Advanced Mathematics for Engineers with Applications in Stochastic Processes
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Advanced Mathematics for Engineers with Applications in Stochastic Processes
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Authors: Aliakbar Montazer Haghighi, Jian-ao Lian, Dimitar P. Mishev (Prairie View A&M Univ., Prairie View, Texas) 
Book Description:
Topics in advanced mathematics for engineers, probability and statistics typically span three subject areas, are addressed in three separate textbooks and taught in three different courses in as many as three semesters. Due to this arrangement, students taking these courses have had to shelf some important and fundamental engineering courses until much later than is necessary. This practice has generally ignored some striking relations that exist between the seemingly separate areas of statistical concepts, such as moments and estimation of Poisson distribution parameters. On one hand, these concepts commonly appear in stochastic processes - for instance, in measures on effectiveness in queuing models. On the other hand, they can also be viewed as applied probability in engineering disciplines - mechanical, chemical, and electrical, as well as in engineering technology. There is obviously, an urgent need for a textbook that recognizes the corresponding relationships between the various areas and a matching cohesive course that will see through to their fundamental engineering courses as early as possible. This book is designed to achieve just that. Its seven chapters, while retaining their individual integrity, flow from selected topics in advanced mathematics such as complex analysis and wavelets to probability, statistics and stochastic processes. (Imprint: Novinka)

Table of Contents:
Preface pp.xiii-xiv

Chapter 1. Introduction pp.1-46

Chapter 2. Fourier and Wavelet Analysis pp.47-100

Chapter 3. Laplace Transform pp.101-120

Chapter 4. Probability pp.121-248

Chapter 5. Statistics pp.249-386

Chapter 6. Difference and Differential-difference Equations (DDE)
Chapter 7. Stochastic Processes pp.427-514

Appendices (Distribution Tables)pp.515-534

References pp.535-542

Answers To selected Exercise pp.543-546

Index pp.547-552

      Mathematics Research Developments
   Binding: Softcover
   Pub. Date: 2012-
   Pages: 7 x 10 (NBC - C)
   ISBN: 978-1-62257-610-4
   Status: AV
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
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Advanced Mathematics for Engineers with Applications in Stochastic Processes