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Introduction. Discrete Random Variables. Continuous Random Variables. Expectation. Conditional Distribution and Expectation. Stochastic Processes. Discrete-Time Markov Chains. Continuous-Time Markov Chains. Networks of Queues. Statistical Inference. Regression and Analysis of Variance. Appendix A: Bibliography. Appendix B: Properties of Distributions. Appendix C: Statistical Tables. Appendix D: Laplace Transforms. Appendix E: Program Performance Analysis.