Introduction to Probability and Statistics for Engineers and Scientists

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9780125984720: Introduction to Probability and Statistics for Engineers and Scientists

Suited for a first course in applied probability and statistics for engineering or science majors, this is a superior textbook. Introduction to Probability and Statistics for Engineers and Scientists, Second Edition, includes expanded coverage of quality control, and offers unique software that automates the computations required for exercises, as well as illustrating the main concepts of probability. The author 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.

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Review:

"As a textbook, it provides a solid foundation for probability and statistics with introduction to some useful applied topics." -Roger M. Sauter, Boeing Commercial Airplane Group, in TECHNOMETRICS, VOL. 47, 2005 "Ross's book is an excellent introduction to classical Probability Theory and Statistics. The explanations are absolutely clear, well chosen examples help students to understand the point of each section. Ross is a classical author of probability texts, most of his books became Bibles of instructors and students. This text is no exception... What it covers is absolutely elegant...I simply love it." - Gabor Szekely, Bowling Green State University "Throughout the book there are numerous homework problems at varying levels of difficulty. In my opinion they do an excellent job of testing the students' grasp of the material as well as being educational, in the...sense of preparing students for examinations. - Charles Dunkl, University of Virginia

About the Author:

Sheldon M. Ross is a professor in the department of industrial engineering and operations research at the University of California, Berkeley. He receivedhis Ph.D. in statistics at Stanford University in 1968 and has been at UC Berkeley ever since. He has published many technical articles and textbooks in the areas of statistics and applied probability. Professor Ross is the founding and contributing editor of the journal, Probability in the Engineering andInformational Sciences, published by Cambridge University Press. He is a fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist award.

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Published by Academic Press (1999)
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