VERY GOOD: The book is in excellent condition, showing very little sign of use and wear. It is printed on acid-free paper.
Product Details
From the Preface: "Apart from expanding on the topics treated in the first edition of this work but not incorporated inA First Course , this volume presents an extensive introductory account of the fundamental concepts and methodology of diffusion processes and the closely allied theory of stochastic differential equations and stochastic integrals. A multitude of physical, engineering, biological, social, and managerial phenomena are either well approximated or reasonably modeled by diffusion processes; and modern approaches to diffusion processes and stochastic differential equations provide new perspectives and techniques impinging on many subfields of pure and applied mathematics, among them partial differential equations, dynamical systems, optimal control problems, statistical decision procedures, operations research, studies of economic systems, population genetics, and ecology models."
BRIEF CONTENTS
This textbook picks up where A First Course left off: with Chapter 10. Each chapter features Problems, Notes, and References.
Algebraic Methods in Markov Chains
Ratio Theorems of Transition Probabilities and Applications
Sums of Independent Random Variables as a Markov Chain
Order Statistics, Poisson Processes, and Applications
Continuous Time Markov Chains
Diffusion Processes
Compounding Stochastic Processes
Fluctuation Theory of Partial Sums of Independent Identically Distributed Random Variables
Queueing Processes
The textbook ends with Miscellaneous Problems and Index.
