
Introduction to Probability and Statistics for Engineers and Scientists
Sheldon M. Ross(Author)
Academic Press
4th Edition
Published on 13. March 2009
Book
Hardback
680 pages
978-0-12-370483-2 (ISBN)
Article exhausted; check for reprint
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.
More details
Edition
4th edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Primary audience is undergraduates/graduate students in engineering and the sciences
Dimensions
Height: 235 mm
Width: 191 mm
Weight
1250 gr
ISBN-13
978-0-12-370483-2 (9780123704832)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Book
09/2014
5th Edition
Academic Press
€99.03
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Additional editions

E-Book
03/2009
4th Edition
Academic Press
€60.95
Available for download
Person
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.
Author
Professor, Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA
Content
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
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