Using the Weibull Distribution

<p><b>Understand and utilize the latest developments</b> <b>in Weibull inferential methods</b></p> <p>While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. <i>Using the Weibull Distribution: Reliability, Modeling,</i> <i>and Inference</i> fills a gap in the current literature on the topic, introducing a self-contained presentation of the probabilistic basis for the methodology while providing powerful techniques for extracting information from data.</p> <p>The author explains the use of the Weibull distribution and its statistical and probabilistic basis, providing a wealth of material that is not available in the current literature. The book begins by outlining the fundamental probability and statistical concepts that serve as a foundation for subsequent topics of coverage, including:</p> <p>• Optimum burn-in, age and block replacement, warranties</p> <p>and renewal theory</p> <p>• Exact inference in Weibull regression</p> <p>• Goodness of fit testing and distinguishing the Weibull</p> <p>from the lognormal</p> <p>• Inference for the Three Parameter Weibull </p> <p>Throughout the book, a wealth of real-world examples showcases the discussed topics and each chapter concludes with a set of exercises, allowing readers to test their understanding of the presented material. In addition, a related website features the author’s own software for implementing the discussed analyses along with a set of modules written in Mathcad®, and additional graphical interface software for performing simulations.</p> <p>With its numerous hands-on examples, exercises, and software applications, <i>Using the Weibull Distribution</i> is an excellent book for courses on quality control and reliability engineering at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for engineers, scientists, and business analysts who gather and interpret data that follows the Weibull distribution</p>