Best Reference Books for Introduction To Stochastic Models
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.
- Introduction to Stochastic Calculus for Finance: A New Didactic Approach (Lecture Notes in Economics and Mathematical Systems) by Dieter SondermannSpringer (Number of pages: 138)
- Informal Introduction to Stochastic Processes with Maple (Universitext) by Jan Vrbik,Paul VrbikSpringer (Number of pages: 287)
- Introduction to Stochastic Models by Roe GoodmanBenjamin-Cummings Publishing Company, Subs of Addison Wesley Longman, Inc (Number of pages: 380)
- Conformal Invariance: an Introduction to Loops, Interfaces and Stochastic Loewner Evolution (Lecture Notes in Physics) bySpringer (Number of pages: 189)
- An Introduction to Copulas (Springer Series in Statistics) by Roger B. NelsenSpringer (Number of pages: 272)
- INTRODUCTION TO STOCHASTIC MODELS by
- Introduction to Reliability Analysis: Probability Models and Statistical Methods (Springer Texts in Statistics) by Shelemyahu ZacksSpringer (Number of pages: 212)
- Introduction to Mathematical Systems Theory: Linear Systems, Identification and Control by Christiaan Heij,André C.M. Ran,F. van SchagenBirkhäuser (Number of pages: 166)
- Introduction to Stochastic Models in Operations Research by Frederick S. Hillier,Gerald J. LiebermanMcGraw-Hill Inc.,US (Number of pages: 480)
- Extracting Knowledge From Time Series: An Introduction to Nonlinear Empirical Modeling (Springer Series in Synergetics) by Boris P. Bezruchko,Dmitry A. SmirnovSpringer (Number of pages: 410)
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