Book description
Understand and utilize the latest developments
in Weibull inferential methods
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. Using the
Weibull Distribution: Reliability, Modeling, and Inference
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.
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:
• Optimum burn-in, age and block replacement, warranties
and renewal theory
• Exact inference in Weibull regression
• Goodness of fit testing and distinguishing the Weibull
from the lognormal
• Inference for the Three Parameter Weibull
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.
With its numerous hands-on examples, exercises, and software
applications, Using the Weibull Distribution 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
JOHN I. McCOOL, PhD, is Professor of Systems Engineering at
Penn State Great Valley School of Graduate Professional Studies. A
Fellow of the American Society for Quality, Dr. McCool previously
served as principal engineering scientist at SKF Industries Inc.,
where he conducted corporate as well as federally sponsored research
projects with the Wright-Patterson Air Force Base, the Office of Naval
Research, the Naval Air Propulsion Center, the Department of Energy,
and the Air Force Office of Scientific Research.
