Applied Life Data Analysis (Probability & Mathematical Statistics S.) - Tapa dura

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DR. WAYNE NELSON IS AWARDED THE SHEWHART MEDAL American Society for Quality awarded Dr. Wayne Nelson of Schenectady, New York the 2003 Shewhart Medal. The Medal honors his outstanding technical leadership, particularly for innovative developments and applications of theory and methods for analyzing quality, reliability, and accelerated test data, and for widely disseminating such developments through his books and many publications, talks, and courses. The Shewhart Medal for outstanding technical leadership is named after Dr. Walter A. Shewhart, who pioneered statistical methods for controlling and improving the quality of manufactured products. These methods contributed significantly to the United States' war effort in World War II. Subsequently taken to Japan by Dr. W. Edwards Deming, these methods revolutionized Japan's industries. Today these methods are part of widely used Six Sigma training on how to improve the quality of products and services. The American Society for Quality is the world's largest professional society dedicated to the improved quality of products and services. It serves its members and the public through a variety of educational activities, including conferences, training courses, journals, and books. Dr. Nelson is a graduate of the California Institute of Technology (Caltech) and the University of Illinois. Formerly with GE Research & Development, he now privately consults and gives courses for companies, professional societies, and universities. For his technical contributions, he was elected a Fellow of the American Society for Quality, the American Statistical Association, and the Institute of Electrical and Electronic Engineers. He recently spent four months in Argentina on a Fulbright Award, lecturing on analysis of product reliability data.

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This practical, highly readable work presents the latest methods in life data analysis ? both simple and sophisticated ones for predicting the time-to-failure of a product or living organism. Life data analysis is currently used to predict warranty costs, evaluate replacement policies, assess design changes, and compare alternate designs, vendors, materials, and manufacturing methods. It is also a valuable tool in the comparison of alternative medical treatments. In both organization and scope Applied Life Data Analysis is designed to serve the day-to-day user of statistics ? industrial statisticians, engineers, and other practitioners in fields where survival data are studied, such as medicine, biology, actuarial science, economics, business, and criminology. Its logical, step-by-step development of the methodology progresses from basic models and simple graphical analyses of data through advanced analytical methods, with each topic self-contained for easy reference. A wealth of practical numerical examples using real data simplify the application of the techniques. Derivations are omitted unless they prove helpful in understanding the material. Among the useful tools explained are:

• simple graphical methods for estimating a life distribution from complete and censored life data
• statistical models and analyses for data on competing failure modes and on series systems
• linear and maximum likelihood methods for estimating life distributions from complete and censored data
• methods for analyzing inspection data (quantal-response and interval data)
• and methods for comparing samples (hypothesis tests) and for pooling estimates from a number of samples.