Self-Starting control charts for monitoring logistic regression profiles

Peyman Khosravi | Amirhossein Amiri

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=84873
Date :  2018/02/21
Publish in :    Communications in Statistics Part B: Simulation and Computation
DOI :  https://doi.org/10.1080/03610918.2018.1425442
Link :  http://www.tandfonline.com/doi/full/10.1080/03610918.2018.1425442
Keywords :Charts, Logistic, Regression

Abstract :

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In some applications, quality engineers cannot monitor the processes at the beginning of the production process. Because the process parameters are unknown and there are not enough initial samples to estimate the process parameters. Self-starting control charts are applied to monitor processes at the start-up stages with no enough initial samples. In this paper, we propose three self-starting control charts to monitor a logistic regression profile which models the relationship between a binomial response variable and explanatory variables. Also,we compare the proposed control chartswith each other through simulation studies in terms of average run length (ARL) criterion.