A direct procedure for monitoring the coefficient of variation using a variable sample size scheme
Document Type
Article
Publication Date
1-1-2017
Abstract
A variable sample size (VSS) scheme directly monitoring the coefficient of variation (CV), instead of monitoring the transformed statistics, is proposed. Optimal chart parameters are computed based on two criteria: (i) minimizing the out-of-control ARL (ARL1) and (ii) minimizing the out-of-control ASS (ASS1). Then the performances are compared between these two criteria. The advantages of the proposed chart over the VSS chart based on the transformed statistics in the existing literature are: the former (i) provides an easier alternative as no transformation is involved and (ii) requires less number of observations to detect a shift when ASS1 is minimized.
Keywords
Average number of observations to signal, Average run length, Average sample size, Coefficient of variation, Variable sample size
Divisions
Faculty_of_Business_and_Accountancy,MathematicalSciences
Funders
Universiti Sains Malaysia Research University grant, number 1001/PMATHS/811263
Publication Title
Communications in Statistics - Simulation and Computation
Volume
46
Issue
6
Publisher
Marcel Dekker (now owned by Taylor & Francis)