Applied Life Data Analysis应用生活数据分析
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作者： Wayne B. Nelson著
出 版 社： 吉林长白山
出版时间： 2003-10-1字数：版次：页数： 616印刷时间： 2003/10/01开本： 16开印次：纸张： 胶版纸I S B N ： 9780471644620包装： 平装内容简介
Your practical guide to statistical methods for predicting product life and reliability and comparing improvements in product manufacturing, design, and application. Describes the use of graphical methods, the method of maximum likelihood, censored data analysis, linear estimation, prediction methods, and methods for complete, singly censored, multiply censored, interval, and quantalresponse data. Techniques are illustrated with step-by-step, real-data numerical examples. This paperback edition features a new preface and includes a brief survey of commercially available software for the analysis of reliability data.
作者简介：
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 Univiversity 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.
目录
Preface to the Paperback Edition
Preface
About the Author
1. Overview and Background
1. Introduction
2. Overview of the Book
3. Background Material
2. Basic Concepts and Distributions for Product Life
1. General Theory on Continuous Distributions (Illustrated by the Exponential Distribution)
2. Normal Distribution
3. Lognormal Distribution
4. Weibull Distribution
5. Smallest Extreme Value Distribution
6. Gamma and Chi-Square Distributions
7. Other Distributions
8. Shifted Distributions
9. Conditional and Truncated Distributions
10. Joint Distributions and the Joint Normal Distribution
11. General Theory on Discrete Distributions (Geometric Distribution)
12. Poisson Distribution
13. Binomial Distribution
14. Hypergeometric Distribution
15. Multinomial Distribution
Problems
3. Probability Plotting of Complete and Singly Censored Data
1. Motivation
2. How to Make a Probability Plot of Complete Data
3. Percentiles and Probabilities
4. Exponential Probability Plot
5. Normal Probability Plot
6. Lognormal Probability Plot
7. Weibull Probability Plot
8. Extreme Value Probability Plot
9. Aids for Data Plotting
10. Probability Plots of Singly Censored Data
11. Theory for Probability Papers
Problems
4. Graphical Analysis of Multiply Censored Data
1. Hazard Plotting
2. Probability Plotting of Multiply Censored Data
3. Theory for Hazard Papers
Problems
5. Series Systems and Competing Risks
1. Series Systems of Different Components
2. Series Systems of Identical Parts
3. Hazard Plots for Data with Competing Failure
Modes
Problems
6. Analysis of Complete Data
1. Basic Ideas for Data Analysis
2. Poisson Data
3. Binomial Data
4. Exponential Data
5. Normal and Lognormal Data
6. Weibull and Extreme Value Data
7. Distribution-Free Methods
Problems
7. Linear Methods for Singly Censored Data
1. Basic Concepts
2. Exponential Data
3. Normal and Lognormal Data
4. Weibull and Extreme Value Data
……
8. Maximum Likelihood Analysis of Multiply Censored Data
9. Analyses of Inspection Data (Quantal-Response and Interval Data)
10. Comparisons(Hypothesis Tests)for Complete Data
11. Comparisons With Linear Estimators(Singly Censored and Compltet Data)
12. Maximum Likelihood Comparisons(Multiply Censored and Other Data)
13. Survey of Other Topics
Appendix A.Tables
References
Index