Statistical process control by quantile approach
Most quality control and quality improvement procedures involve making assumptions about the distributional form of data it uses; usually that the data is normally distributed. It is common place to find processes that generate data which is non-normally distributed, e.g. Weibull, logistic or mixtur...
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Sheffield Hallam University
2000
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Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325933 |