Best Reference Books for Introduction To Stochastic Models

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List of "Best Reference Books for Introduction To Stochastic Models" compiled based on Amazon book reviews by experts. These books are used by students of top institutes, universities, colleges and professionals. Please feel free to suggest any other book on this topic using the comment section below.

  1. Introduction to Stochastic Calculus for Finance: A New Didactic Approach (Lecture Notes in Economics and Mathematical Systems) by Dieter Sondermann
    Springer (Number of pages: 138)
  2. Informal Introduction to Stochastic Processes with Maple (Universitext) by Jan Vrbik,Paul Vrbik
    Springer (Number of pages: 287)
  3. Introduction to Stochastic Models by Roe Goodman
    Benjamin-Cummings Publishing Company, Subs of Addison Wesley Longman, Inc (Number of pages: 380)
  4. Conformal Invariance: an Introduction to Loops, Interfaces and Stochastic Loewner Evolution (Lecture Notes in Physics) by
    Springer (Number of pages: 189)
  5. An Introduction to Copulas (Springer Series in Statistics) by Roger B. Nelsen
    Springer (Number of pages: 272)
  6. INTRODUCTION TO STOCHASTIC MODELS by
  7. Introduction to Reliability Analysis: Probability Models and Statistical Methods (Springer Texts in Statistics) by Shelemyahu Zacks
    Springer (Number of pages: 212)
  8. Introduction to Mathematical Systems Theory: Linear Systems, Identification and Control by Christiaan Heij,André C.M. Ran,F. van Schagen
    Birkhäuser (Number of pages: 166)
  9. Introduction to Stochastic Models in Operations Research by Frederick S. Hillier,Gerald J. Lieberman
    McGraw-Hill Inc.,US (Number of pages: 480)
  10. Extracting Knowledge From Time Series: An Introduction to Nonlinear Empirical Modeling (Springer Series in Synergetics) by Boris P. Bezruchko,Dmitry A. Smirnov
    Springer (Number of pages: 410)

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