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In many circumstances, the quality of a process or product is best characterized by a given mathematical function between a response variable and one or more explanatory variables that is typically referred to as profile. There are some investigations to monitor autocorrelated linear and nonlinear profiles in recent years. In the present paper, we use the(More)
Many products such as chemical items are produced through multistage processes. In these processes, the stages are usually dependent and the quality of the items in a specific stage not only depends on the operation condition of its current stage but also on the condition of the previous stage(s). This is so called the cascade property of multistage(More)
In some applications of statistical quality control, process quality is described by the relationship between a response variable and one or more explanatory variables that is called profile. Profile monitoring procedures assumes that error terms are uncorrelated random normal variables with zero mean and constant variance (homosedasticity). However in some(More)
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