Reliability: Modeling, Prediction, and Optimization
| Author | : | |
| Rating | : | 4.52 (555 Votes) |
| Asin | : | 0471184500 |
| Format Type | : | paperback |
| Number of Pages | : | 848 Pages |
| Publish Date | : | 2014-04-10 |
| Language | : | English |
DESCRIPTION:
Written in plain language by two highly respected experts in the field, this practical work provides engineers, operations managers, and applied statisticians with both qualitative and quantitative tools for solving a variety of complex, real-world reliability problems. A wealth of examples and case studies accompanies: * Comprehensive coverage of assessment, prediction, and improvement at each stage of a product's life cycle * Clear explanations of modeling and analysis for hardware ranging from a si
BLISCHKE, PhD, Statistics, is Professor Emeritus, Marshall School of Business, University of Southern California. . PRABHAKAR MURTHY, PhD, is Professor of Engineering and Operations Management at the University of Queensland, St. D. N. Lucia, Australia. WALLACE R
modern and practical Michael R. Chernick This text is an extensive and modern treatment of reliability with many practical case studies. It covers many of the standard topics including most of the topics covered in the recent book by Meeker and Escobar (1998) "Statistical Methods for Reliability Data". It is unique in its coverage of warranties (Chapter 17). These authors are very knowledgeable about the literature on warranty analysis and have edited the Product Warranty Handbook published by Marcel Dekker in 1996 and published their own text dedicated solely to that topic ("Warranty Cost Analysis" published by Marcel Dekker in 1994). Emphasis is placed on case studies which . Product arrived exactly as advertised Condition of the product is as stated in the product description or better. Text appears to be of outstanding quality and research and I would recommend it to anyone in a Warranty Management/Engineering role, or for graduate students looking for a bit of relevant real-world exposure in the ever under-valued warranty sector of business.
I strongly recommend it." (Technometrics, Vol. (Short Book Reviews, Vol.20, No. Mathematical and statistical concepts related to reliability modeling and analysis are presented along with important bibliography and a listing of resources which includes journals, reliability standards, other publications, and databases. 20, No. 4, November 2001) "I would recommend this book to practitioners and as a graduate level book." (Journal of the American Statistical Association, December 2001) . 43, No. (Zentralblatt Math, Volume 945, No 20, 2000) "a comprehensive overview" (Short Book Reviews, December 2000) "an excellent textbook for an advanced course in biostatistics and also an indispensable reference for biostatisticians and epidemiologists" (Short Book Reviews, December 2000) "an excellent book, distinguished by excellence of exposition, breadth and comprehensi