Publisher's Synopsis
William Q. Meeker's Learning About Statistical Methods And Its All Reliability Data - Amstat News asked three editors to rate their top five favorite books in the September 2003 issue. Statistical methods for reliability data were chosen. Provide statistical methods to test the reliability according to the age of the computer This volume presents advanced computer statistical methods to analyze reliability data and design tests for industrial products. Statistical Reliability Methods The data updates and improves established techniques as it demonstrates how new graphical, numerical, or simulation-based methods can be applied to a wide range of models experienced in the analysis of reliability data. This includes methods for designing reliability studies and analyzing degradation data, simulation methods used to complement large-model asymptotic theory, general probability-based methods for dealing with arbitrarily censored and truncated data, And much more. In this book, industrial and academic engineers and statisticians find: There is a wealth of information and developed procedures that provide a competitive advantage to products. Simple examples of analysis of data calculated with the S-PLUS system, for which functions and commands are available via the Internet End of chapter, practical sets of real data Many infographics represent hundreds of data, results of analyzes and of technical concepts. An essential resource for professionals in product reliability and design decisions, Statistical Data Reliability Methods are also an excellent manual for on-the-job training and university courses on reliability data analysis applied to the field. graduate level. An instructor's manual with detailed solutions to all of the book's problems is available on request from Wiley Editorial.
