Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
In recent years, many control charts have been proposed to monitor
profiles where the quality of a process/product is expressed as function of
response and explanatory variable(s). The methods mostly assume that the in
control parameter values are known in Phase II analysis and innovations are
normally distributed. However, in practice, the parameters are estimated in Phase
I analysis and innovations may be non-normal. In this study, the performance of T2,
EWMA-R and EWMA-3 methods for monitoring simple linear profiles is examined
via simulation where the parameters are estimated and innovations have Student’s
t-distribution. As a performance measure, both the average and standard deviation
of the run length is considered. Finally, some recommendations for practitioners
are summarized in a table.