
Introduction to Probability and Statistics for Engineers and Scientists
Sheldon M. Ross(Author)
Academic Press
5th Edition
Published on 24. September 2014
Book
Hardback
686 pages
978-0-12-394811-3 (ISBN)
Article exhausted; check for reprint
Description
Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition is a proven text reference that provides a superior introduction to applied probability and statistics for engineering or science majors. The book lays emphasis in 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 from actual studies across life science, engineering, computing and business are incorporated in a wide variety of exercises and examples throughout the text. These examples and exercises are combined with updated problem sets and applications to connect probability theory to everyday statistical problems and situations. The book also contains end of chapter review material that highlights key ideas as well as the risks associated with practical application of the material. Furthermore, there are new additions to proofs in the estimation section as well as new coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.
This text is intended for upper level undergraduate and graduate students taking a course in probability and statistics for science or engineering, and for scientists, engineers, and other professionals seeking a reference of foundational content and application to these fields.
Real data from actual studies across life science, engineering, computing and business are incorporated in a wide variety of exercises and examples throughout the text. These examples and exercises are combined with updated problem sets and applications to connect probability theory to everyday statistical problems and situations. The book also contains end of chapter review material that highlights key ideas as well as the risks associated with practical application of the material. Furthermore, there are new additions to proofs in the estimation section as well as new coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.
This text is intended for upper level undergraduate and graduate students taking a course in probability and statistics for science or engineering, and for scientists, engineers, and other professionals seeking a reference of foundational content and application to these fields.
Reviews / Votes
"...the book is intended for an introductory course, and assumes elementary calculus." --Gazette of the Australian Mathematical SocietyMore details
Edition
5th edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Professional and scholarly
Primary audience is scientists and engineers, upper level undergraduates and graduate students in engineering and the sciences.
Dimensions
Height: 235 mm
Width: 191 mm
Weight
2180 gr
ISBN-13
978-0-12-394811-3 (9780123948113)
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
02/2021
6th Edition
Academic Press
€121.50
Shipment within 10-15 days

Book
12/2020
6th Edition
Academic Press
€118.79
The article will not be published
Additional editions

E-Book
08/2014
5th Edition
Academic Press
€68.99
Available for download
Previous edition

Book
03/2009
4th Edition
Academic Press
€90.36
Article exhausted; check for reprint
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 Statistics2. Descriptive Statistics3. Elements of Probability4. Random Variables and Expectation5. Special Random Variables6. Distributions of Sampling Statistics7. Parameter Estimation8. Hypothesis Testing9. Regression10. Analysis of Variance11. Goodness of Fit Tests and Categorical Data Analysis12. non parametric HypothesisTests13. Quality Control14. LifeTesting15. Simulation, Bootstrap Statistical Methods, and Permutation Tests