@inproceedings{4896b7afac1344a992b2760ae0e46fc2,
title = "The effect of measurement error on the performance of the s chart",
abstract = "In this paper, we look at how measurement error affects the statistical performance of the s chart. The linear covariate error model is used to evaluate the efficiency of the s chart with measurement error. The influence of input factors on the performance of the s chart is explored using the linear covariate error model. Shorter out-of-control average run lengths of the s chart are seen to be connected to smaller measurement error ratios, higher coefficient B values, and more repeated measurements of each item in each sample. To illustrate how to use the s chart when there is measurement error, an example is given.",
keywords = "Measurement error, linear covariate error model, s chart",
author = "Lee, {Ming Ha} and Lee, {Zhi Yau} and Teoh, {Wei Lin} and Tan, {Vie Ming} and Melinda Kong and XinYing Chew",
year = "2023",
month = dec,
day = "19",
doi = "10.1117/12.3011408",
language = "English",
isbn = "9781510671768",
series = "Proceedings of SPIE",
publisher = "SPIE",
editor = "Anton Purnama and Burhanuddin Arafah",
booktitle = "International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023)",
address = "United States",
note = "2023 International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication, ICMSCE 2023 ; Conference date: 06-09-2023 Through 07-09-2023",
}