Introduction to Probability and Statistics for Engineers and Scientists

Introduction to Probability and Statistics for Engineers and Scientists, 5th Edition

Introduction to Probability and Statistics for Engineers and Scientists, 5th Edition,Sheldon Ross,ISBN9780123948113


Academic Press




235 X 191

A proven text reference for upper level undergraduate and graduate students taking a course in probability and statistics for science or engineering, and for professionals seeking a reference of foundational content and application to these fields.

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Key Features

  • Clear exposition by a renowned expert author
  • Real data examples that use significant real data from actual studies across life science, engineering, computing and business
  • End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material
  • 25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science
  • New additions to proofs in the estimation section
  • New coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.


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.


Primary audience is scientists and engineers, upper level undergraduates and graduate students in engineering and the sciences

Sheldon Ross

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.

Affiliations and Expertise

University of Southern California, Los Angeles, USA

View additional works by Sheldon M. Ross

Introduction to Probability and Statistics for Engineers and Scientists, 5th Edition


Ch1 Introduction to Statistics

Ch2 Descriptive Statistics

Ch3 Elements of Probability

Ch4 Random Variables and Expectation

Ch5 Special Random Variables

Ch6 Distributions of Sampling Statistics

Ch7 Parameter Estimation

Ch8 Hypothesis Testing

Ch9 Regression

Ch10 Analysis of Variance

Ch11 Goodness of Fit Tests and Categorical Data Analysis

Ch12 non parametric HypothesisTests

Ch13 Quality Control

Ch14 LifeTesting

Ch15 Simulation, Bootstrap Statistical Methods, and Permutation Tests

Appendix of Tables

Quotes and reviews

"...the book is intended for an introductory course, and assumes elementary calculus."--Gazette of the Australian Mathematical Society, Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition

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