TY - JOUR
T1 - Robust point location estimators for the EWMA control chart
AU - Zwetsloot, Inez M.
AU - Schoonhoven, Marit
AU - Does, Ronald J. M. M.
PY - 2016/1
Y1 - 2016/1
N2 - In practice, the EWMA control chart for process monitoring is based on parameters estimated from a retrospective data set representing the process characteristic under study. This data set may contain contaminated observations, which in turn can affect the estimates and hence the control chart's performance. We study the problem of estimating the location when the data set may or may not contain contaminated observations. We compare six point estimators proposed in the SPC literature. The quality of the estimators is evaluated in terms of estimation accuracy. Moreover, we study the impact of the estimators on the performance of the EWMA control chart based on the different location estimators.
AB - In practice, the EWMA control chart for process monitoring is based on parameters estimated from a retrospective data set representing the process characteristic under study. This data set may contain contaminated observations, which in turn can affect the estimates and hence the control chart's performance. We study the problem of estimating the location when the data set may or may not contain contaminated observations. We compare six point estimators proposed in the SPC literature. The quality of the estimators is evaluated in terms of estimation accuracy. Moreover, we study the impact of the estimators on the performance of the EWMA control chart based on the different location estimators.
KW - Contaminations
KW - EWMA control chart
KW - statistical process control
KW - ESTIMATED PARAMETERS
UR - http://www.scopus.com/inward/record.url?scp=84978657058&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84978657058&origin=recordpage
U2 - 10.1080/16843703.2016.1139845
DO - 10.1080/16843703.2016.1139845
M3 - RGC 21 - Publication in refereed journal
SN - 1684-3703
VL - 13
SP - 29
EP - 38
JO - Quality Technology and Quantitative Management
JF - Quality Technology and Quantitative Management
IS - 1
ER -