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Provides authoritative guidance on statistical analysis techniques and inferential methods for one-shot device life-testingEstimating the reliability of one-shot devices--electro-expolsive devices, fire extinguishers, automobile airbags, and other units that perform their function only once--poses unique analytical challenges to conventional approaches. Due to how one-shot devices are censored, their precise failure times cannot be obtained from testing. The condition of a one-shot device can only be recorded at a specific inspection time, resulting in a lack of lifetime data collected in life-tests.Accelerated Life Testing of One-shot Devices: Data Collection and Analysis addresses the fundamental issues of statistical modeling based on data collected from accelerated life-tests of one-shot devices. The authors provide inferential methods and procedures for planning accelerated life-tests, and describe advanced statistical techniques to help reliability practitioners overcome estimation problems in the real world. Topics covered include likelihood inference, competing-risks models, one-shot devices with dependent components, model selection, and more. Enabling readers to apply the techniques to their own lifetime data and arrive at the most accurate inference possible, this practical resource:* Provides expert guidance on comprehensive data analysis of one-shot devices under accelerated life-tests* Discusses how to design experiments for data collection from efficient accelerated life-tests while conforming to budget constraints* Helps readers develops optimal designs for constant-stress and step-stress accelerated life-tests, mainstream life-tests commonly used in reliability practice* Includes R code in each chapter for readers to use in their own analyses of one-shot device testing data* Features numerous case studies and practical examples throughout* Highlights important issues, problems, and future research directions in reliability theory and practiceAccelerated Life Testing of One-shot Devices: Data Collection and Analysis is essential reading for graduate students, researchers, and engineers working on accelerated life testing data analysis.
With a focus on models and tangible applications of probability from physics, computer science, and other related disciplines, this book successfully guides readers through fundamental coverage for enhanced understanding of the problems.
With a focus on models and tangible applications of probability from engineering, business, and other related disciplines, this book successfully guides readers through the fundamentals of the subject helping them achieve an increased mathematical sophistication.
This set includes Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs &
Outlines the statistical tools for successfully working with modern life and health sciences research. This book offers coverage of the underlying theory and standard applications to research in related disciplines such as biology, epidemiology, clinical trials, and public health.
Expert practical and theoretical coverage of runs and scans This volume presents both theoretical and applied aspects of runs and scans, and illustrates their important role in reliability analysis through various applications from science and engineering.
Designed as an introduction to statistical distribution theory. Includes a first chapter on basic notations and definitions that are essential to working with distributions. Remaining chapters are divided into three parts: Discrete Distributions, Continuous Distributions, and Multivariate Distributions.
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