Last edited by Keramar
Thursday, July 30, 2020 | History

11 edition of An introduction to stochastic modeling found in the catalog.

An introduction to stochastic modeling

by Howard M. Taylor

  • 51 Want to read
  • 33 Currently reading

Published by Academic Press in San Diego .
Written in English

    Subjects:
  • Stochastic processes

  • Edition Notes

    Includes bibliographical references (p. 601-602) and index.

    StatementHoward M. Taylor, Samuel Karlin.
    ContributionsKarlin, Samuel, 1923-
    Classifications
    LC ClassificationsQA274 .T35 1998
    The Physical Object
    Paginationxi, 631 p. :
    Number of Pages631
    ID Numbers
    Open LibraryOL693303M
    ISBN 100126848874
    LC Control Number97040552

    Ross, Introduction to probability models, , Academic Press. Ross, Simulation, 4th Edition, Academic Press. Taylor and Karlin, An Introduction to stochastic modeling, , . Get this from a library! An introduction to stochastic modeling. [Howard M Taylor; Samuel Karlin] -- "Serving as the foundation for a one-semester course in stochastic processes for students .

      An Introduction to Stochastic Modeling: Edition 4 - Ebook written by Mark Pinsky, Samuel Karlin. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read An Introduction to Stochastic Modeling: 4/5(1). Interest rate modeling and the pricing of related derivatives remain subjects of increasing importance in financial mathematics and risk management. This book provides an accessible introduction to these topics by a step-by-step presentation of concepts with a focus on explicit calculations. Each chapter is accompanied with exercises and their complete solutions, making the book .

    A coherent introduction to the techniques for modeling dynamic stochastic systems, this volume also offers a guide to the mathematical, numerical, and simulation tools of systems analysis. Each chapter opens with an illustrative case study, and comprehensive presentations include formulation of models, determination of parameters, analysis, . The book is devoted to the study of important classes of stochastic processes: discrete and continuous time Markov processes, Poisson processes, renewal and regenerative processes, .


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