This book introduces a number of new sampling plans, such as time
truncated life tests, skip sampling plans, resubmitted plans, mixed
sampling plans, sampling plans based on the process capability
index and plans for big data, which can be used for testing and
inspecting products, from the raw-materials stage to the final
product, in every industry using statistical process control
techniques. It also presents the statistical theory, methodology
and applications of acceptance sampling from truncated life tests.
Further, it discusses the latest reliability, quality and risk
analysis methods based on acceptance sampling from truncated life,
which engineering and statisticians require in order to make
decisions, and which are also useful for researchers in the areas
of quality control, lifetime analysis, censored data analysis,
goodness-of-fit and statistical software applications. In its nine
chapters, the book addresses a wide range of testing/inspection
sampling schemes for discrete and continuous data collected in
various production processes. It includes a chapter on sampling
plans for big data and offers several illustrative examples of the
procedures presented. Requiring a basic knowledge of probability
distributions, inference and estimation, and lifetime and quality
analysis, it is a valuable resource for graduate and senior
undergraduate engineering students, and practicing engineers, more
specifically it is useful for quality engineers, reliability
engineers, consultants, black belts, master black belts, students
and researchers interested in applying reliability and risk and
quality methods.
General
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