Statistical Methods of Quality Assurance
This comprehensive textbook is a basic reference which should be recommended to students and teachers in engineering, technology and management as well as to the whole community of professionals already working in quality-related areas.
The book aims to be a step-by-step introduction to statistical quality assurance. It has been specifically designed for self-study and includes over 100 fully solved exercises and worked examples. In addition to traditional quality control procedures the book also presents very carefully elaborated results of recent research in order to encourage their adoption into practice.
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and Procedures for Evaluation
acceptance sampling according AOQ(P AOQL average outgoing quality Bernoulli distribution binomial distribution calculate control chart control limits corresponding CUSUM chart decision defective units denotes density determined distribution function double-sampling plan estimate EWMA chart example extreme value chart figure formula fraction defective fraction nonconforming given graph hypergeometric OC hypothesis test inspection errors manufacturing process massfunction mean chart measurement error median MIL-STD nonconforming units number of defective number of nonconformities OC curve OC function OC percentiles onesided parameters Poisson distribution power function Pr(X prerun Problem procedure process control process level quality assurance quality characteristic quality level random numbers random variable remaining lot replacement result sample mean sample size sample statistic sample units sampling plan SHEWHART shift single-sampling plan specification limit specified standard deviation standard normal distribution test statistic tion twosided type II error variance x2 distribution
Page 631 - The Practical Application of Sampling Inspection Plans and Tables, Philips Technical Review, vol.
Page 633 - ... to the Choice of Continuous Sampling Plans, Technical Report No. 30, Applied Mathematics and Statistics Laboratory, Stanford Univ.  HILLIER, F., 1961. New Criteria for Selecting Continuous Sampling Plans, Technical Report No. 52, Applied Mathematics and Statistics Laboratory, Stanford Univ.  LIEBERMAN, GJ, 1953. A Note on Dodge's Continuous Inspection Plan, Annals of Mathematical Statistics 24, 480-484.  SAVAGE, IR, 1959. A Production Model and Continuous Sampling Plan, Journal of...
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