Profile control charts based on nonparametric $L$-1 regression methods

Details Profile control charts based on nonparametric $L$-1 regression methods Profile control charts based on nonparametric $L$-1 regression methods

2012-03-21

arxiv.org/abs/1203.4661v1

Annals of Applied Statistics 2012, Vol. 6, No. 1, 409-427

Statistics

Applications

Published in at http://dx.doi.org/10.1214/11-AOAS501 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Ins

Scientific paper

10.1214/11-AOAS501

Classical statistical process control often relies on univariate characteristics. In many contemporary applications, however, the quality of products must be characterized by some functional relation between a response variable and its explanatory variables. Monitoring such functional profiles has been a rapidly growing field due to increasing demands. This paper develops a novel nonparametric $L$-1 location-scale model to screen the shapes of profiles. The model is built on three basic elements: location shifts, local shape distortions, and overall shape deviations, which are quantified by three individual metrics. The proposed approach is applied to the previously analyzed vertical density profile data, leading to some interesting insights.

Affiliated with

Also associated with

No associations

Rating

Profile control charts based on nonparametric $L$-1 regression methods does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Profile control charts based on nonparametric $L$-1 regression methods, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Profile control charts based on nonparametric $L$-1 regression methods will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-488038