Applied Statistics and Probability for Engineers / Edition 6

by Douglas C. Montgomery

Overview

Written by engineers, it uses a practical, applied approach that is more oriented to engineering than any other text available. Instead of a few engineering examples mixed in with examples from other fields, all of its unique problem sets reflect the types of situations encountered by engineers in their working lives.

Product Details

ISBN-13:	2901118539711
Publisher:	Wiley
Publication date:	11/11/2013
Edition description:	New Edition
Pages:	832
Product dimensions:	6.50(w) x 1.50(h) x 9.50(d)

About the Author

Douglas C. Montgomery, Regents' Professor of Industrial Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering. From 1969 to 1984, he was a faculty member of the School of Industrial & Systems Engineering at the Georgia Institute of Technology; from 1984 to 1988, he was at the University of Washington, where he held the John M. Fluke Distinguished chair of Manufacturing Engineering, was Professor of Mechanical Engineering, and Director of the Program in industrial Engineering. He has authored and coauthored many technical papers as well as twelve other books. Dr. Montgomery is a Stewart Medalist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award (twice) from the ASQ.

Table of Contents

The Role of Statistics in Engineering.
Data Summary and Presentation.
Probability.
Discrete Random Variables and Probability Distributions.
Continuous Random Variables and Probability Distributions.
Joint Probability Distributions.
Parameter Estimation.
Statistical Inference for a Single Sample.
Statistical Inference for Two Samples.
Simple Linear Regression and Correlation.
Multiple Linear Regression.
Design and Analysis of Single-Factor Experiments: The Analysis of Variance.
Design of Experiments with Several Factors.
Nonparametric Statistics.
Statistical Quality Control.
Appendices.
Index.

Editorial Reviews

An introductory textbook for a first course in applied statistics and probability for undergraduate students in engineering and the physical or chemical sciences. All of the examples and exercises are engineering-based and in almost all cases they use real data. Throughout, output from Statgraphics and SAS is presented to exemplify what can be done with modern statistical software. Assumes one or two semesters of calculus. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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