Introduction to Probability and Statistics for Engineers and Scientists

4th Edition

Authors: Sheldon Ross Sheldon Ross
Hardcover ISBN: 9780123704832
eBook ISBN: 9780080919379
Imprint: Academic Press
Published Date: 30th January 2009
Page Count: 680
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Description

This updated text 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 remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations.

Also Available: Student Solutions Manual for Introduction to Probability and Statistics for Engineers and Scientists, 4e ISBN:9780123705280

Key Features

New to the 4th Edition:

  • New Chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests
  • 20% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science
  • New Real data examples that use significant real data from actual studies across life science, engineering, computing and business
  • New End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material

Readership

Primary audience is undergraduates/graduate students in engineering and the sciences

Table of Contents

Preface 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 NonparametricHypothesisTests Ch13 Quality Control Ch14 LifeTesting Ch15 Simulation, Bootstrap Statistical Methods, and Permutation Tests Appendix of Tables

Details

No. of pages:
680
Language:
English
Copyright:
© Academic Press 2009
Published:
Imprint:
Academic Press
eBook ISBN:
9780080919379
Hardcover ISBN:
9780123704832

About the Author

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

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

Reviews

This updated text 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 remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations. Also Available: Student Solutions Manual for Introduction to Probability and Statistics for Engineers and Scientists, 4e ISBN:9780123705280