Introduction to Probability Theory with Contemporary Applications

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Introduction to Probability Theory with Contemporary Applications by Lester L. Helms, Dover Publications
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Author: Lester L. Helms ISBN: 9780486132075
Publisher: Dover Publications Publication: May 23, 2012
Imprint: Dover Publications Language: English
Author: Lester L. Helms
ISBN: 9780486132075
Publisher: Dover Publications
Publication: May 23, 2012
Imprint: Dover Publications
Language: English

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. Suitable for an introductory probability course, this volume requires abstract and conceptual thinking skills and a background in calculus.
Topics include classical probability, set theory, axioms, probability functions, random and independent random variables, expected values, and covariance and correlations. Additional subjects include stochastic processes, continuous random variables, expectation and conditional expectation, and continuous parameter Markov processes. Numerous exercises foster the development of problem-solving skills, and all problems feature step-by-step solutions

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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. Suitable for an introductory probability course, this volume requires abstract and conceptual thinking skills and a background in calculus.
Topics include classical probability, set theory, axioms, probability functions, random and independent random variables, expected values, and covariance and correlations. Additional subjects include stochastic processes, continuous random variables, expectation and conditional expectation, and continuous parameter Markov processes. Numerous exercises foster the development of problem-solving skills, and all problems feature step-by-step solutions

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