Why Statistics? Characteristics of Data and How to Describe Them. Simple Probability and Probability Distributions. Control Charts in General. Control Charts for Attributes. Control Charts for Measurements: Process Control. Process Capability. Further Topics in Control Charts and Applications. Acceptance Sampling for Attributes. Some Standard Sampling Plans for Attributes. Sampling by Variables. Tolerances for Mating Parts and Assemblies. Studying Relationships Between Variables by Linear Correlation and Regression. A Few Reliability Concepts. Appendix. Answers to Odd-Numbered Problems. Index.
John T. Burr
"…does a capable job of updating the first edition and is a solid
hands-on guide for the next wave of statistical quality control
practitioners. …With detailed examples and a few problems at the
end of most chapters, this book gives learning practitioners a good
starting point for the key points of statistical quality control,
especially in emphasizing the importance of characterizing and
adjusting for variability in processes and avoiding common pitfalls
when making decisions from observed data. …it is a worthwhile
addition to the reference shelf of quality engineers and
practitioners."
-Christine M. Anderson-Cook, Journal of the American Statistical
Association
"Its contents are of great interest for engineering, business and
industrial professional and students. Good graphical illustrations
aid the understanding of the concepts and techniques discussed. The
second edition expands the content of the 1976 first edition. I
recommend this book for lecturers and students of engineering as a
good introductory book on statistical quality control in industry
and business."
-Journal of Applied Statistics, June 2006
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