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This introduction to probability theory transforms a highly abstract subject into a series of coherent concepts. Its extensive discussions and clear examples, written in plain language, expose students to the rules and methods of probability. Numerous exercises foster the development of problem-solving skills, and all problems feature step-by-step solutions. 1997 edition.
Lester L. Helms is a Professor Emeritus in the Department of Mathematics at the University of Illinois at Urbana-Champaign.
Table of Contents
PrefaceErrata1. Classical Probability2. Axioms of Probability3. Random Variables4. Expectation5. Stochastic processes6. Continous Random Variables7. Expectation Revisited8. Continous Parameter Markov ProcessesSolutions to ExercisesStandard Normal Distribution FunctionSymbolsIndex