Probability and random processes : a first course with applications

Sample Spaces and Events. Probability. Random Variables and Their Distributions. Sets of Random Variables and Random Sequences. Functions of Random Variables. Expectation. Special Distributions. Fitting Distributions to Data. Random Processes: Introduction and Examples. Discrete Parameter Markov Chains. Continuous Parameter Markov Chains. Limiting Distribution of Continuous Parameter Markov Processes. Introduction to Queueing Theory. Appendixes. Author and Subject Index. Name Index.