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Introduction to Probability and Statistics for Engineers and Scientists

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"Introduction to Probability and Statistics for Engineers and Scientists" provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with the previous editions, Ross' text has tremendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications connect probability theory to everyday statistical problems and situations.
Clear exposition by a renowned expert authorReal data examples that use significant real data from actual studies across life science, engineering, computing and businessEnd of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer scienceNew additions to proofs in the estimation sectionNew coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.

686 pages, Hardcover

First published June 30, 1987

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About the author

Sheldon M. Ross

43 books33 followers
Sheldon M. Ross is the Epstein Chair Professor at the Department of Industrial and Systems Engineering, University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968 and was formerly a Professor at the University of California, Berkeley, from 1976 until 2004. He has published more than 100 articles and a variety of textbooks in the areas of statistics and applied probability, including Topics in Finite and Discrete Mathematics (2000), Introduction to Probability and Statistics for Engineers and Scientists, 4th edition (2009), A First Course in Probability, 8th edition (2009), and Introduction to Probability Models, 10th edition (2009), among others. Dr Ross serves as the editor for Probability in the Engineering and Informational Sciences.

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