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Risk management. --- Reliability (Engineering) --- Quality control. --- Failure analysis (Engineering)

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Given the infinite number of applications of polymeric materials in everyday life, especially applications where a failure in service may lead to economic loss, injury or death, the ability to determine the cause of failure using forensic engineering techniques is essential. Forensic polymer engineering: Why polymer products fail in service reviews the latest forensic engineering techniques used in the investigation of failed polymer materials. It presents a series of case studies which illustrate the different types of failure and the forensic engineering techniques used in their investigatio

Polymers --- Forensic engineering. --- Failure analysis (Engineering) --- Analysis, Failure (Engineering) --- Quality control --- System failures (Engineering) --- Engineering --- Forensic sciences --- Fracture.

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Metals --- Failure analysis (Engineering) --- Fracture. --- Analysis, Failure (Engineering) --- Quality control --- System failures (Engineering) --- Failure of metals --- Fracture of metals --- Failure --- Testing

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This is the definitive reference containing all of the background guidance, typical ranges, details of recommended test specifications, case studies and regulations covering the environmental requirements on designers and manufacturers of electrical and electromechanical equipment worldwide.The recent introduction of the European EMC directive is just one aspect of the requirements placed upon manufacturers and designers of electrical equipment. There are numerous national and international standards and specifications that describe the application environment in which equipment must f

Electric apparatus and appliances --- Electric machinery --- Electronic apparatus and appliances --- Environmental engineering --- Environmental testing --- Failure time data analysis --- Testing. --- Standards. --- Analysis, Failure time data --- Data analysis, Failure time --- Failure analysis (Engineering) --- Mathematical statistics --- Competing risks --- Survival analysis (Biometry) --- Environment testing --- Testing --- Environmental control --- Environmental effects --- Environmental stresses --- Engineering --- Environmental health --- Environmental protection --- Pollution --- Sustainable engineering

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Survival analysis, the analysis of failure time data, is a rapid developing area and a number of books on the topic have been published in last twenty-five years. However, all of these books deal with right-censored failure time data, not the analysis of interval-censored failure time data. Interval-censored data include right-censored data as a special case and occur in many fields. The analysis of interval-censored data is much more difficult than that of right-censored data because the censoring mechanism that yields interval censoring is more complicated than that for right censoring. This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. A number of inference approaches are discussed in the book, including the maximum likelihood, estimating equations, sieve maximum likelihood, and conditional likelihood. One major difference between the analyses of right- and interval-censored data is that the theory of counting processes, which is responsible for substantial advances in the theory and development of modern statistical methods for right-censored data, is not applicable to interval-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. In addition, Bayesian methods and the analysis of interval-censored data with informative interval censoring are considered as well as the analysis of interval-censored recurrent event, or panel count, data. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze interval-censored data to answer substantive questions. It can also be used as a text for a graduate course in statistics or biostatistics that assume a basic knowledge of probability and statistics. Jianguo (Tony) Sun is a professor at the Department of Statistics of the University of Missouri-Columbia. He has developed novel statistical methods for the analysis of interval-censored failure time data and panel count data over the last fifteen years.

Failure time data analysis. --- Analysis, Failure time data --- Data analysis, Failure time --- Failure analysis (Engineering) --- Mathematical statistics --- Competing risks --- Survival analysis (Biometry) --- Distribution (Probability theory. --- Statistics. --- Probability Theory and Stochastic Processes. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Probabilities. --- Statistics . --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Risk