Introduction to Probability and Statistics for Engineers and Scientists - 4th Edition - ISBN: 9780123704832, 9780080919379

Introduction to Probability and Statistics for Engineers and Scientists

4th Edition

Authors: Sheldon Ross Sheldon Ross
eBook ISBN: 9780080919379
Hardcover ISBN: 9780123704832
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.

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

Undergraduates/graduate students in engineering and the sciences

Table of Contents

  1. Introduction to Statistics
    2. Descriptive Statistics
    3. Elements of Probability
    4. Random Variables and Expectation
    5. Special Random Variables
    6. Distributions of Sampling Statistics
    7. Parameter Estimation
    8. Hypothesis Testing
    9. Regression
    10. Analysis of Variance
    11. Goodness of Fit Tests and Categorical Data Analysis
    12. NonparametricHypothesisTests
    13. Quality Control
    14. LifeTesting
    15. Simulation, Bootstrap Statistical Methods, and Permutation Tests

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 Ross

Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD 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, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.

Affiliations and Expertise

University of Southern California, Los Angeles, USA

Sheldon Ross

Sheldon Ross

Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD 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, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.

Affiliations and Expertise

University of Southern California, Los Angeles, USA

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