Applied Life Data Analysis应用生活数据分析 免费 夸克云 mobi azw3 pdf 下载 chm snb

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.

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

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书籍介绍

WILEY--INTERSCIENCE PAPERBACK SERIES The Wiley--Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Many examples drawn from the author's experience of engineering applications are used to illustrate the theoretical results, which are presented in a cookbook fashion...it provides an excellent practical guide to the analysis of product--life data." --T.M.M. Farley Special Programme of Research in Human Reproduction World Health Organization Geneva, Switzerland Review in Biometrics, September 1983 Now a classic, Applied Life Data Analysis has been widely used by thousands of engineers and industrial statisticians to obtain information from life data on consumer, industrial, and military products. Organized to serve practitioners, this book starts with basic models and simple informative probability plots of life data. Then it progresses through advanced analytical methods, including maximum likelihood fitting of advanced models to life data. All data analysis methods are illustrated with numerous clientsa applications from the authora s consulting experience.