Engineering P: 51 (Wiley Classics Library)

J. Hahn, Gerald

ISBN 10: 0471040657 / ISBN 13: 9780471040651

Published by WILEY, 1994

About this Item

The main aim of this work is to show the engineer responsible for a product whose performance is subject to chance fluctuations how to choose a reasonable statistical model and how to use this model in the evaluation of statistical problems. Series: Wiley Classics Library. Num Pages: 376 pages, Illustrations. BIC Classification: PBT; TBC; TBJ. Category: (P) Professional & Vocational. Dimension: 229 x 153 x 17. Weight in Grams: 442. . 1994. 1st Edition. paperback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780471040651

Bibliographic Details

• Title: Engineering P: 51 (Wiley Classics Library)
• Publisher: WILEY
• Publication Date: 1994
• Language: English
• ISBN 10: 0471040657
• ISBN 13: 9780471040651
• Binding: Soft cover
• Condition: New

About this title

Synopsis

A detailed treatment on the use of statistical models representing physical phenomena. Considers the relevance of the popular normal distribution models and the applicability of exponential distribution in reliability problems. Introduces and discusses the use of alternate models such as gamma, beta and Weibull distributions. Features expansive coverage of system performance and describes an exact method known as the transformation of variables. Deals with techniques on assessing the adequacy of a chosen model including both graphical and analytical procedures. Contains scores of illustrative examples, most of which have been adapted from actual problems.

About the Author

Gerald J. Hahn, PhD, worked at the GE Global Research Center for 46 years, where he managed its statistics group for 28 years and was elected a Coolidge Fellow, the organization's highest honor, in 1984. A Fellow of the American Statistical Association and American Society for Quality, Dr. Hahn is the author of numerous papers and the coauthor of Statistical Models in Engineering; Statistical Intervals: A Guide for Practitioners; and The Role of Statistics in Business and Industry, all published by Wiley. He has received many professional awards and served as adjunct professor at various universities.

William Q. Meeker, PhD, is a Professor of Statistics and Distinguished Professor of Liberal Arts and Sciences at Iowa State University. He is a Fellow of the American Statistical Association and the American Society for Quality and a past Editor of Technometrics. He is co-author of the books Statistical Methods for Reliability Data with Luis Escobar, and Statistical Intervals: A Guide for Practitioners with Gerald Hahn.