2nd Edition

Applied Engineering Statistics



  • Available for pre-order. Item will ship after November 2, 2021
ISBN 9781032119489
November 2, 2021 Forthcoming by CRC Press
376 Pages 75 B/W Illustrations

USD $99.95

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Book Description

Thoroughly updated throughout, this second edition will continue to be about the practicable methods of statistical applications for engineers, and as well for scientists and those in business. It remains a what-I-wish-I-had-known-when-starting-my-career compilation of techniques.

Contrasting a mathematical and abstract orientation of many statistics texts, which expresses the science/math values of researchers, this book has its focus on the application to concrete examples and the interpretation of outcomes. Supporting application propriety, this book also presents the fundamental concepts, provides supporting derivation, and has frequent do and not-do notes.

Key Features:

  • Contains details of the computation for the examples.
  • Includes new examples and exercises.
  • Includes expanded topics supporting data analysis.

The book is for upper-level undergraduate or graduate students in engineering, the hard sciences, or business programs. The intent is that the text would continue to be useful in professional life, and appropriate as a self-learning tool after graduation – whether in graduate school or in professional practice.

Table of Contents

1. INTRODUCTION. 2. PROBABILITY. 3. DISTRIBUTIONS. 4. DESCRIPTIVE STATISTICS. 5. STATISTICAL INFERENCE AND ESTIMATIONS. 6. HYPOTHESIS FORMULATION AND TESTING. 7. NONPARAMETRIC TESTS. 8. REPORTING AND PROPAGATING ERROR IN CALCULATIONS. 9. RISK. 10. STOCHASTIC SIMULATION. 11. IMPACT OF RIGHT OR WRONG DECISIONS 12. ANALYSIS OF VARIANCE. 13. STEADY AND TRANSIENT STATE IDENTIFICATION. 14. LINEAR REGRESSION. 15. NONLINEAR REGRESSION. 16. EXPERIMENTAL DESIGN FOR LINEAR STEADY-STATE MODELS – SCREENING DESIGNS. 17. CONCEPTS FOR PHENOMENOLOGICAL MODEL VALIDATION. 18. EXPERIMENTAL DESIGN FOR NONLINEAR MODELS 19. STATISTICAL PROCESS CONTROL. 20. RELIABILITY. 21. CLASSIFICATION ALGORITHMS.

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Author(s)

Biography

R. RUSSELL RHINEHART is Associate Professor of Chemical Engineering at Texas Tech University, Lubbock, with 13 years of industrial experience in process and product engineering. The author or coauthor of over 30 articles, book chapters, and papers, he is a member of the American Institute of Chemical Engineers, Instrument Society of America, and American Society of Engineering Education. Dr. Rhinehart received the B.S. (1968) and M.S. (1969) degrees from the University of Maryland at College Park, and Ph.D. (1985) from North Carolina State University, Raleigh.

ROBERT M. BETHEA is Professor of Chemical Engineering at Texas Tech University, Lubbock. He is the author or coauthor of over 120 articles, papers, book chapters, and reports, and two books, including Statistical Methods for Engineers and Scientists, Second Edition, Revised and Expanded (with Benjamin S. Duran and Thomas L. Boullion) (Marcel Dekker, Inc.). A Diplomate of the American Academy of Environmental Engineers, a Senior Member of the American Institute of Chemical Engineers and American Chemical Society, and a member of the Air and Waste Management Association and American Industrial Hygiene Association, among others, Dr. Bethea received the B.Sc. (1957) degree from Virginia Polytechnic Institute and State University, Blacksburg, and M.S. (1959) and Ph.D. (1964) degrees from Iowa State University of Science and Technology, Ames.