
Introduction to Probability and Statistics for Engineers and Scientists
Sheldon M. Ross(Author)
Academic Press
3rd Edition
Published on 21. July 2004
Book
Hardback
640 pages
978-0-12-598057-9 (ISBN)
Description
This updated classic provides a superior introduction to applied probability and statistics for engineering or science majors. Author Sheldon Ross shows how probability yields insight into statistical problems, 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.
The Third Edition includes new exercises, examples, and applications, updated statistical material, and more.
The Third Edition includes new exercises, examples, and applications, updated statistical material, and more.
Reviews / Votes
"As a textbook, it provides a solid foundation for probability and statistics with introduction to some useful applied topics." --Roger M. Sauter, Boeing Commercial Airplane Group, in TECHNOMETRICS, VOL. 47, 2005"Ross's book is an excellent introduction to classical Probability Theory and Statistics. The explanations are absolutely clear, well chosen examples help students to understand the point of each section. Ross is a classical author of probability texts, most of his books became Bibles of instructors and students. This text is no exception... What it covers is absolutely elegant...I simply love it." --Gabor Szekely, Bowling Green State University
"Throughout the book there are numerous homework problems at varying levels of difficulty. In my opinion they do an excellent job of testing the students' grasp of the material as well as being educational, in the...sense of preparing students for examinations." --Charles Dunkl, University of Virginia
More details
Edition
3rd edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Edition type
New edition
Illustrations
Approx. 100 illustrations; Illustrations
Dimensions
Height: 235 mm
Width: 191 mm
Weight
1160 gr
ISBN-13
978-0-12-598057-9 (9780125980579)
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
Additional editions

E-Book
07/2004
3rd Edition
Academic Press
€74.95
Available for download
Previous edition

Book
10/1999
2nd Edition
Academic Press
€76.74
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
Preface
Introduction to Statistics
Descriptive Statistics
Elements of Probability
Random Variables and Expectation
Special Random Variables
Distributions of Sampling Statistics
Parameter Estimation
Hypothesis Testing
Regression
Analysis of Variance
Goodness of Fit Tests and Categorical Data Analysis
Nonparametric Hypothesis Tests
Quality Control
LifeTesting
Appendix of Tables
Introduction to Statistics
Descriptive Statistics
Elements of Probability
Random Variables and Expectation
Special Random Variables
Distributions of Sampling Statistics
Parameter Estimation
Hypothesis Testing
Regression
Analysis of Variance
Goodness of Fit Tests and Categorical Data Analysis
Nonparametric Hypothesis Tests
Quality Control
LifeTesting
Appendix of Tables