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Design of Experiments for Reliability Achievement (Hardcover)
Loot Price: R2,796
Discovery Miles 27 960
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Design of Experiments for Reliability Achievement (Hardcover)
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ENABLES READERS TO UNDERSTAND THE METHODS OF EXPERIMENTAL DESIGN TO
SUCCESSFULLY CONDUCT LIFE TESTING TO IMPROVE PRODUCT RELIABILITY
This book illustrates how experimental design and life testing can
be used to understand product reliability in order to enable
reliability improvements. The book is divided into four sections.
The first section focuses on statistical distributions and methods
for modeling reliability data. The second section provides an
overview of design of experiments including response surface
methodology and optimal designs. The third section describes
regression models for reliability analysis focused on lifetime
data. This section provides the methods for how data collected in a
designed experiment can be properly analyzed. The final section of
the book pulls together all of the prior sections with customized
experiments that are uniquely suited for reliability testing.
Throughout the text, there is a focus on reliability applications
and methods. It addresses both optimal and robust design with
censored data. To aid in reader comprehension, examples and case
studies are included throughout the text to illustrate the key
factors in designing experiments and emphasize how experiments
involving life testing are inherently different. The book provides
numerous state-of-the-art exercises and solutions to help readers
better understand the real-world applications of experimental
design and reliability. The authors utilize R and JMP(R) software
throughout as appropriate, and a supplemental website contains the
related data sets. Written by internationally known experts in the
fields of experimental design methodology and reliability data
analysis, sample topics covered in the book include: An
introduction to reliability, lifetime distributions, censoring, and
inference for parameter of lifetime distributions Design of
experiments, optimal design, and robust design Lifetime regression,
parametric regression models, and the Cox Proportional Hazard Model
Design strategies for reliability achievement Accelerated testing,
models for acceleration, and design of experiments for accelerated
testing The text features an accessible approach to reliability for
readers with various levels of technical expertise. This book is a
key reference for statistical researchers, reliability engineers,
quality engineers, and professionals in applied statistics and
engineering. It is a comprehensive textbook for upper-undergraduate
and graduate-level courses in statistics and engineering.
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