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Item Details
Title: STOCHASTIC PROCESSES
By: Emanuel Parzen, Robert O'Malley
Format: Paperback

List price: £42.99


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ISBN 10: 0898714419
ISBN 13: 9780898714418
Publisher: SOCIETY FOR INDUSTRIAL & APPLIED MATHEMATICS,U.S.
Pub. date: 1 January, 1987
Series: Classics in Applied Mathematics v. 24
Pages: 343
Description: This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating questions and first steps in the solutions.
Synopsis: This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating questions and first steps in the solutions. Stochastic Processes is ideal for a course aiming to give examples of the wide variety of empirical phenomena for which stochastic processes provide mathematical models. It introduces the methods of probability model building and provides the reader with mathematically sound techniques as well as the ability to further study the theory of stochastic processes. Originally published in 1962, this was the first comprehensive survey of stochastic processes requiring only a minimal background in introductory probability theory and mathematical analysis. Stochastic Processes continues to be unique, with many topics and examples still not discussed in other textbooks.As new fields of applications (such as finance and DNA analysis) become important, researchers will continue to find the fundamental and accessible topics explained in this book essential background for their research.
Illustrations: Illustrations
Publication: US
Imprint: Society for Industrial & Applied Mathematics,U.S.
Returns: Returnable
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ASYMPTOTIC APPROXIMATIONS OF INTEGRALS (PB)
BASIC CONCEPTS OF PROBABILITY AND STATISTICS (PB)
BOUNDARY VALUE PROBLEMS OF MATHEMATICAL PHYSICS (PB)
CONVEX ANALYSIS AND VARIATIONAL PROBLEMS (PB)
DYNAMIC NONCOOPERATIVE GAME THEORY (PB)
FINITE ELEMENT SOLUTION OF BOUNDARY VALUE PROBLEMS (PB)
HISTORICAL DEVELOPMENTS IN SINGULAR PERTURBATIONS (HB)
INITIAL-BOUNDARY VALUE PROBLEMS AND THE NAVIER-STOKES EQUATIONS (PB)
INTERATIVE SOLUTION OF NONLINEAR EQUATIONS IN SEVERAL VARIABLES (PB)
INTRODUCTION TO MATRIX ANALYSIS (PB)
INTRODUCTION TO NUMERICAL CONTINUATION METHODS (PB)
LANCZOS ALGORITHMS FOR LARGE SYMMETRIC EIGENVALUE COMPUTATIONS (PB)
LINEAR DIFFERENTIAL OPERATORS (PB)
MATHEMATICAL ANALYSIS OF VISCOELASTIC FLOWS (PB)
MATHEMATICAL MODELS (PB)
MATHEMATICAL MODELS IN BIOLOGY (PB)
MATHEMATICAL OPTIMIZATION AND ECONOMIC THEORY (PB)
MATHEMATICAL THEORY OF RELIABILITY (PB)
MATHEMATICS APPLIED TO DETERMINISTIC PROBLEMS IN THE NATURAL SCIENCES (PB)
METHODS OF MATHEMATICAL ECONOMICS (PB)
MODERN PROBABILITY THEORY AND ITS APPLICATIONS (HB)
MODERN PROBABILITY THEORY AND ITS APPLICATIONS (PB)
MULTIPLE DECISION PROCEDURES (PB)
NON-LINEAR SYSTEMS ANALYSIS (PB)
NONLINEAR PROGRAMMING (PB)
NONLINEAR PROGRAMMING (PB)
NUMERICAL ANALYSIS (PB)
NUMERICAL METHODS FOR UNCONSTRAINED OPTIMIZATION AND NONLINEAR EQUATIONS (PB)
OPTIMAL DESIGN OF EXPERIMENTS (PB)
ORDINARY DIFFERENTIAL EQUATIONS (PB)
ORDINARY DIFFERENTIAL EQUATIONS (PB)
ORDINARY DIFFERENTIAL EQUATIONS IN THEORY AND PRACTICE (PB)
PERTURBATIONS: THEORY AND METHODS (PB)
PRINCIPLES OF COMPUTERIZED TOMOGRAPHIC IMAGING (PB)
SELECTED PAPERS OF HIROTUGU AKAIKE (HB)
SELECTED PAPERS OF HIROTUGU AKAIKE (PB)
STATISTICAL DESIGN AND ANALYSIS OF EXPERIMENTS (PB)
STOCHASTIC PROCESSES (PB)
THE FINITE ELEMENT METHOD FOR ELLIPTIC PROBLEMS (PB)
THE MATHEMATICS OF COMPUTERIZED TOMOGRAPHY (PB)
THE SYMMETRIC EIGENVALUE PROBLEM (PB)
TIME SERIES (PB)
TIME SERIES ANALYSIS OF IRREGULARLY OBSERVED DATA (PB)

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