Warranty Data Analysis - ReliaWikiChapter Warranty Data Analysis. Generate Reference Book: File may be more up-to-date. It allows the user to automatically perform life data analysis, predict future failures through the use of conditional probability analysis , and provides a method for detecting outliers. The four data-entry formats for storing sales and returns information are:. These formats are explained in the next sections.
Warranty Data Collection and Analysis
From the reviews: "This book, consisting of eighteen chapters in six parts, presents a detailed study of problems associated with warranty data collection and analysis. Throughout this well-written book a large number of references are provided which point the reader to the necessary detailed academic bibliography on each topic, making this very interesting book an useful handbook and essential tool for anyone interested in the collection and analysis of warranty data. Wallace R. Blischke obtained a B. His early employment included aerospace and consulting firms. He joined the faculty of the University of Southern California in , where he taught in the School of Business for 27 years. Blischke is currently Professor Emeritus, Marshall School of Business, USC, and is a private consultant specializing in data analysis, experimental design, sampling, reliability, quality assurance, warranty, and litigation support.
Springer Series in Reliability EngineeringFor further volumes: ninciclopedia.orger .com/series/ Wallace R. Blisc.
really good books for 5th graders