Probabilistic Modelling

Probabilistic Modelling

Editorial Reviews
Review
'... easily accessible ... attractive to non-mathematicians.' Mitrani

Book Description
Probabilistic modeling is the most cost-effective means of performance evaluation of computer systems. This book is a major revision of Modelling of Computer Communication Systems (CUP, 1987), one of the standard introductions to the area. Changes to the content reflect the change in the subject itself. Professor Mitrani has amplified the treatment of queues, reliability and applied probability. This book will be welcomed by students and teachers for its no-nonsense treatment of the basic results and examples of their application. The text includes the necessary fundamentals in probability and stochastic processes, making the book ideal for students in computer science or operations research taking courses in modern system design.

Probabilistic Modelling

Probabilistic Modelling,Isi Mitrani,Cambridge University Press,0521585309,Applied,Computers - General Information,Mathematics,Probability & Statistics - General,Programming - Systems Analysis & Design,Science/Mathematics,Mathematics / Statistics,Probabilities,Probability & statistics

Books Info:

1. Process Modelling and Model Analysis (Process Systems Engineering)
2. Progress in Theoretical and Computational Fluid Mechanics: Winter School, Paseky, 1993
3. Qualitative Theory of Dynamical Systems (Pure and Applied Mathematics (Marcel Dekker))
4. Real and Complex Singularities (Lecture Notes in Pure and Applied Mathematics)
5. Renormalization Methods : Critical Phenomena, Chaos, Fractal Structures
6. Rings, Modules, Algebras, and Abelian Groups (Lecture Notes in Pure and Applied Mathematics)
7. Ring Theory and Algebraic Geometry (Lecture Notes in Pure and Applied Mathematics)
8. Scientific Computing with Mathematica : Mathematical Problems for Ordinary Differential Equations (Modeling and Simulation in Science, Engineering and Technology)
9. Self-Similarity and Beyond: Exact Solutions of Nonlinear Problems
10. Simplicial Algorithms for Minimizing Polyhedral Functions

Books Info

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