@inproceedings{35c1668374ea45fc8aab7b46eb0073a7,
title = "Robust control charts in industrial production of olive oil",
abstract = "Acidity is one of the most important variables in the quality analysis and characterization of olive oil. During the industrial production we use individuals and moving range charts to monitor this variable, which is not always normal distributed. After a brief exploratory data analysis, where we use the bootstrap method, we construct control charts, before and after a Box-Cox transformation, and compare their robustness and performance.",
keywords = "bootstrap, Box-Cox transformation, Individuals and moving range charts, non-normality, robustness",
author = "Grilo, {Luis Miguel} and Mateus, {Dina M. R.} and Alves, {Ana C.} and Grilo, {Helena L.}",
year = "2014",
month = oct,
day = "6",
doi = "10.1063/1.4897794",
language = "English",
isbn = "978-0-7354-1255-2",
series = "AIP Conference Proceedings",
publisher = "AIP - American Institute of Physics",
pages = "539--542",
editor = "Simos, {Theodore E.} and Zacharoula Kalogiratou and Theodore Monovasilis",
booktitle = "International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014",
address = "United States",
note = "International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014 ; Conference date: 04-04-2014 Through 07-04-2014",
}