Abstract
The selection of three parameters {h,k,n} is necessary to design a x̅ control chart. A cost model employing a Burr distribution is examined. Previously employed methods are refined and extended. A series of approximations are proposed that enable a rapid parameter selection. It is hoped that reducing the computational complexity of previous approaches will lead to wider utilization of x̅ control charts.
DOI
10.22237/jmasm/1367381940
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
