Reliability is an essential concept in mathematics, computing, research, and all disciplines of engineering. Reliability as a characteristic is, in fact, a probability. Therefore, in this book the author uses the statistical approach to reliability modelling along with the Minitab software package to provide a comprehensive treatment of modelling, from the basics through advanced modelling techniques. With nearly 100 diagrams, plots, and illustrations and an appendix covering the algebraic and calculus methods relevant to reliability analysis, this is the ideal text for researchers and engineers who need to consider the reliability implications of their work.
This highly-readable book should serve as an excellent introduction to reliability modeling for engineers and for students of statistics as well as for students intending to specialize in the field. The author gives a reasonable sample of the most important topics in a relatively short space. This includes some discussion of sometimes-difficult issues about choosing the "right" model. My only quarrel with the author is that she has not quite made the transition away from a reliance on published tables to a fully-computer-oriented approach. In the next edition she should present algorithms for solutions of important quantities such as confidence intervals. Nonetheless, I strongly recommend the book.
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