随机模型概论 : 第4版

Preface to the Fourth EditionPreface to the Third EditionPreface to the First EditionTo the InstructorAcknowledgmentsIntroduction1.1 Stochastic Modeling　1.1.1 Stochastic Processes1.2 Probability Review　1.2.1 Events and Probabilities　1.2.2 Random Variables　1.2.3 Moments and Expected Values　1.2.4 Joint Distribution Functions　1.2.5 Sums and Convolutions　1.2.6 Change of Variable　1.2.7 Conditional Probability　1.2.8 Review of Axiomatic Probability Theory1.3 The Major Discrete Distributions　1.3.1 Bernoulli Distribution　1.3.2 Binomial Distribution　1.3.3 Geometric and Negative Binominal Distributions　1.3.4 The Poisson Distribution　1.3.5 The Multinomial Distribution1.4 Important Continuous Distributions　1.4.1 The Normal Distribution　1.4.2 The Exponential Distribution　1.4.3 The Uniform Distribution　1.4.4 The Gamma Distribution　1.4.5 The Beta Distribution　1.4.6 The Joint Normal Distribution1.5 Some Elementary Exercises　1.5.1 Tail Probabilities　1.5.2 The Exponential Distribution1.6 Useful Functions, Integrals, and Sums　……

　　Mark A. Pinsky and Samuel Karlin An Introduction toStochastic Modeling, Fourth Edition (ISBN 978-0-12-381416-6).　　Original English language edition copyright　2011 by ElsevierInc. All rights reserved.　　Authorized English language reprint edition published by theProprietor.　　Copyright　2013 by Elsevier (Singapore) Pte Ltd.　　Printed in China by China Machine Press under specialarrangement with Elsevier (Singapore) Pte Ltd. This edition isauthorized for sale in China only, excluding Hong Kong SAR, MacauSAR and Taiwan.　　Unauthorized export of this edition is a violation of theCopyright Act. Violation of this Law is subject to Civil andCriminal Penalties.