Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3490
Title: Reference Ranges and Control Limits that are Resistant to Baseline Outliers
Authors: Amaratunga, D
Keywords: Robust statistics
M-estimation
Quality control
Issue Date: 15-Sep-2022
Publisher: Faculty of Humanities and Sciences, SLIIT
Citation: Dhammika Amaratunga. (2022). Reference Ranges and Control Limits that are Resistant to Baseline Outliers. Proceedings of SLIIT International Conference on Advancements in Sciences and Humanities, (11) October, Colombo, 183 - 188.
Series/Report no.: PROCEEDINGS OF THE SLIIT INTERNATIONAL CONFERENCE ON ADVANCEMENTS IN SCIENCES AND HUMANITIES [SICASH];
Abstract: Reference ranges and control limits are used in many settings – for example, to assess a person’s health or to monitor the stability of a manufacturing process. Such ranges are established based on a baseline sample of what is considered normal data, but it is not possible to always avoid a few outliers being present even in this sample. If, as is common, the range is calculated using statistics, such as the mean and standard deviation, which could be influenced by outliers, then the use of such a range could adversely affect the decisions made. This can be avoided by constructing the reference range using statistics that are resistant to outliers. In this paper, we demonstrate the superior performance of such an approach.
URI: https://rda.sliit.lk/handle/123456789/3490
ISSN: 2783-8862
Appears in Collections:Proceedings of the SLIIT International Conference on Advancements in Sciences and Humanities2022 [SICASH]

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