Performance of synthetic double sampling chart with estimated parameters based on expected average run length
type: Item
instance of: scholarly article
title: Performance of synthetic double sampling chart with estimated parameters based on expected average run length
zbMATH Open document ID: 1431.62695
DOI: 10.1155/2018/7583610
author: Huay Woon You
published in: Journal of Probability and Statistics
publication date: 2018-08-14T00:00:00Z
review text: Summary: A synthetic double sampling (SDS) chart is commonly evaluated based on the assumption that process parameters (namely, mean and standard deviation) are known. However, the process parameters are usually unknown and must be estimated from an in-control Phase-I dataset. This will lead to deterioration in the performance of a control chart. The average run length (ARL) has been implemented as the common performance measure in process monitoring of the SDS chart. Computation of ARL requires practitioners to determine shift size in advance. However, this requirement is too restricted as practitioners may not have the experience to specify the shift size in advance. Thus, the expected average run length (EARL) is introduced to assess the performance of the SDS chart when the shift size is random. In this paper, the SDS chart, with known and estimated process parameters, was evaluated based on EARL and compared with the performance measure, ARL.
Mathematics Subject Classification ID: 62P30
zbMATH DE Number: 6917637
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/7583610
OpenAlex ID: W2805153058
cites work: Sample size calculation for controlling false discovery proportion
cites work: Q4648980
cites work: Accounting for phase I sampling variability in the performance of the MEWMA control chart with estimated parameters
description: scientific article; zbMATH DE number 6917637