Abstract

In this paper, two Shewhart-type nonparametric control charts based on runs rules are developed for monitoring the changes in the process variability. The charts are based on two nonparametric tests for equality of variances. The performance of the proposed controlcharts is evaluated for the normal, light tailed and heavy tailed distributions through average run length using simulations.

Issue

The Experiment 2014

Article Subject:

Mathematics

KeyWords:

Average run length, runs rules, process variability, nonparametric tests

Download PDF:

56.V. B. Ghute et al, The Experiment, 2014, Vol.24 (4)1683-1691