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Probabilistic Modelling

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Probabilistic Modelling Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

Probabilistic modelling is a mathematical method for evaluating and predicting the behaviour of complex dynamic systems. This book introduces the tools and techniques required to use that method, as well as examples of applications in manufacturing, computing and communications. Both performance and reliability evaluation are considered. The book can be used by computing science, engineering and operations research undergraduates and postgraduates taking courses in systems design. Very little mathematical background is assumed.

Synopsis:

A no-nonsense introduction to the tools and techniques of probabilisitc modelling, with applications in manufacturing, computing and communications. Both performance and reliability evaluation are considered. Self-contained treatment suitable for computing science, engineering and operations research students taking courses in systems design.

Synopsis:

Introduction to tools and applications of probabilistic modelling for computing or operations research students.

Table of Contents

Preface; 1. Introduction to probability theory; 2. Arrivals and services; 3. Queueing systems: average performance; 4. Queueing networks; 5. Markov chains and processes; 6. Queues in Markovian environments; Index.

Product Details

ISBN:
9780521585309
Author:
Mitrani, I.
Author:
Mitrani
Author:
Mitrani, Isi
Publisher:
Cambridge University Press
Location:
Cambridge
Subject:
Statistics
Subject:
Applied
Subject:
Probability
Subject:
Probabilities
Subject:
Programming - Systems Analysis & Design
Subject:
Mathematical models
Subject:
Probability & Statistics - General
Subject:
Software Development & Engineering - Systems
Subject:
Software Engineering-Systems Analysis and Design
Edition Number:
2
Edition Description:
Trade paper
Publication Date:
19971231
Binding:
TRADE PAPER
Grade Level:
College/higher education:
Language:
English
Illustrations:
20 line diagrams 70 exercises 70 mus
Pages:
236
Dimensions:
8.97x5.98x.47 in. .71 lbs.

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Related Subjects

Computers and Internet » Software Engineering » Systems Analysis and Design
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Probability Theory
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Probabilistic Modelling New Trade Paper
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$68.25 In Stock
Product details 236 pages Cambridge University Press - English 9780521585309 Reviews:
"Synopsis" by , Probabilistic modelling is a mathematical method for evaluating and predicting the behaviour of complex dynamic systems. This book introduces the tools and techniques required to use that method, as well as examples of applications in manufacturing, computing and communications. Both performance and reliability evaluation are considered. The book can be used by computing science, engineering and operations research undergraduates and postgraduates taking courses in systems design. Very little mathematical background is assumed.
"Synopsis" by , A no-nonsense introduction to the tools and techniques of probabilisitc modelling, with applications in manufacturing, computing and communications. Both performance and reliability evaluation are considered. Self-contained treatment suitable for computing science, engineering and operations research students taking courses in systems design.
"Synopsis" by , Introduction to tools and applications of probabilistic modelling for computing or operations research students.
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