Statistics in Engineering: With Examples in MATLAB® and R, Second Edition

2nd Edition

Andrew Metcalfe, David Green, Tony Greenfield, Mayhayaudin Mansor, Andrew Smith, Jonathan Tuke

Chapman and Hall/CRC
January 16, 2019 Forthcoming
Textbook - 800 Pages - 100 B/W Illustrations
ISBN 9781439895474 - CAT# K14230
Series: Chapman & Hall/CRC Texts in Statistical Science

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Engineers are expected to design structures and machines that can operate in challenging and capricious environments, while allowing for variation in materials and for noise in measurements and signals. This book explains how to estimate and model random variation in the context of engineering analysis and design. Examples and case studies are taken from many engineering disciplines.

The first part of the book includes probability and probability distributions, descriptive statistics, combinations of random variables, comparison of means, correlation and regression. The emphasis is on modeling and simulation using either the open source software R or MATLAB, both of which have an extensive suite of statistical functions. The second part of the book has chapters on: multiple regression including the analysis of time series, statistical quality control including Weibull analysis of failure times, the design of experiments, Markov chains and other probability models, analysis of variance, and sampling strategies. Mathematical explanations of theoretical concepts are discussed in a straightforward manner, and the practical importance of these concepts is shown with engineering examples based on the authors' consulting, industrial, and research experience. A unique feature of the book is the inclusion of random number generation, which is used to illustrate theoretical ideas, together with an appendix of practical experiments that complement the theory. There are many exercises and data sets included in the text and these are supplemented by the website.

Andrew Metcalfe, David A. Green, Andrew Smith, and Jonathan Tuke have taught probability and statistics to students of engineering at the University of Adelaide for many years and have substantial industry experience. Their current research includes applications to water resources engineering, mining, and telecommunications.

Mahayaudin M. Mansor worked in banking and insurance before teaching statistics and business mathematics at the Universiti Tun Abdul Razak Malaysia and is currently a researcher specializing in data analytics and quantitative research in the Health Economics and Social Policy Research Group at the Australian Centre for Precision Health, University of South Australia.

Tony Greenfield, formerly Head of Process Computing and Statistics at the British Iron and Steel Research Association, is a statistical consultant. He has been awarded the Chambers Medal for outstanding services to the Royal Statistical Society; the George Box Medal by the European Network for Business and Industrial Statistics for Outstanding Contributions to Industrial Statistics; and the William G. Hunter Award by the American Society for Quality.




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