CUSUM Charts for Signalling Varying Location Shifts

By R. Sparks. 2000

269 citations recorded by the source corpus.

How researchers see this paper

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Exponentially weighted moving average charts for detecting concept drift (2012, methodology): “In (Sparks, 2000) a solution to this problem was proposed for a different change detection method (the Cumulative Sum chart) and”
Adaptive nonparametric CUSUM scheme for detecting unknown shifts in location (2014, methodology): “The one-sided adaptive CUSUM chart (Sparks 2000) is defined as Sþ t 1⁄4 max 0; Sþ t 1 þ Xt d̂ þ t =2 =h d̂ þ t =2 ;”
Optimal Design of a CUSUM Chart for a Mean Shift of Unknown Size (2010, methodology): “In a way similar to Sparks (2000), we compare charts only using ARL.”
CUSUM and EWMA multi-charts for detecting a range of mean shifts (2007, background): “Since then, Lorden and Eisenberger (1973), Lucas (1982), Rowlands et al. (1982), Dragalin (1993, 1997) and Sparks (2000) have further investigated and studied a combination of several CUSUM charts and a combined Shewhart-CUSUM to detect mean shifts in a range.”