A comparison of T 2 control charts with variable sampling schemes as opposed to MEWMA chart

74 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Special Variable Sample Size and Sampling Interval Chart (2009, unknown): “( 2001 ), Aparasi and Haro ( 2001 ), ( 2003 ), Epprecht et al.”
Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes (2013, methodology): “In particular, control charts for monitoring independent observations have been extensively investigated and applied (Alt, 1984; Mason et al., 1995; Aparisi and Haro, 2003; Yang and Rahim, 2005; Torng et al., 2009; Magalh~aesa et al., 2009; Wu et al., 2009; Du and Xi, 2010; Ou et al., 2011; Costa…”
Using vector autoregressive residuals to monitor multivariate processes in the presence of serial correlation (2007, methodology): “Statistical process control (SPC) as a method of quality improvement and control has a long history, and its development has been reinforced by the Six Sigma concept popularly adopted by blue chip organizations such as allied signal and GE (Dale et al., 2001). Previous investigations on multivariate”
Hotelling’s T2 control chart with double warning lines (2006, methodology): “…λλ λ l 2 11 2 0 2 )1( p pn pq knq n − ×− ×× = where, 0 )0,,( )0,,( 1 at e pUCLF pWF p λ−= and 0) )0,,( )0,,( 1(2 bt e pUCLF pWF p λ−−= Aparisi (1996), Aparisi and Haro (2001) and Aparisi and Haro (2003) studied the VSST −2 , VSIT −2 and VSSVSIT −2 control charts, respectively, but the assumptions…”