
Introduction to Probability and Statistics for Engineers and Scientists
Sheldon M. Ross(Author)
Academic Press
2nd Edition
Published on 11. October 1999
Book
Mixed media product
578 pages
978-0-12-598472-0 (ISBN)
Article exhausted; check for reprint
Description
Suited for a first course in applied probability and statistics for engineering or science majors, this is a superior textbook. Introduction to Probability and Statistics for Engineers and Scientists, Second Edition, includes expanded coverage of quality control, and offers unique software that automates the computations required for exercises, as well as illustrating the main concepts of probability. The author 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.
More details
Edition
2nd Revised edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Edition type
Revised edition
Illustrations
illustrations
Dimensions
Height: 235 mm
Width: 191 mm
Weight
1189 gr
ISBN-13
978-0-12-598472-0 (9780125984720)
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
07/2004
3rd Edition
Academic Press
€62.44
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Person
Sheldon M. Ross is a professor in the department of industrial engineering and operations research at the University of California, Berkeley. He receivedhis Ph.D. in statistics at Stanford University in 1968 and has been at UC Berkeley ever since. He has published many technical articles and textbooks in the areas of statistics and applied probability. Professor Ross is the founding and contributing editor of the journal, Probability in the Engineering andInformational Sciences, published by Cambridge University Press. He is a fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist award.
Content
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. Life Testing.