Exploring fit approaches for pressure calibration: An interactive web application for comparative analysis

In order to explain techniques for evaluating calibration data to determine the effective area and distortion coefficient of a pressure balance, we have created a user-friendly web application. With the help of this tool, users can investigate possible outlier or influential points, see the behaviour of scatter plots, and view regression residuals. It also makes it easier to compare different approaches to respective analysis: the weighted least squares model, the independent pressure model, and the ordinary least squares method. The software facilitates the comparison of models and the examination of the standard residual error that arises from every regression model. Moreover, an examination of the influence of outliers on the regression has been carried out, utilizing diagrams that illustrate the identification of outliers and the ensuing regression analysis in the absence of outliers.

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Publication Details

Journal
Measurement Sensors
Published
2024-12-27
DOI
https://doi.org/10.1016/j.measen.2024.101691
Primary Topic
Advanced Sensor Technologies Research
Type
article
Field-Weighted Citation Impact
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article

Exploring fit approaches for pressure calibration: An interactive web application for comparative analysis

Sindy Jessenia Higuera, Mayckol Morales
Measurement Sensors
Advanced Sensor Technologies Research
article

Exploring fit approaches for pressure calibration: An interactive web application for comparative analysis

Sindy Jessenia Higuera, Mayckol Morales
article en

Abstract

In order to explain techniques for evaluating calibration data to determine the effective area and distortion coefficient of a pressure balance, we have created a user-friendly web application. With the help of this tool, users can investigate possible outlier or influential points, see the behaviour of scatter plots, and view regression residuals. It also makes it easier to compare different approaches to respective analysis: the weighted least squares model, the independent pressure model, and the ordinary least squares method. The software facilitates the comparison of models and the examination of the standard residual error that arises from every regression model. Moreover, an examination of the influence of outliers on the regression has been carried out, utilizing diagrams that illustrate the identification of outliers and the ensuing regression analysis in the absence of outliers.

Measurement SensorsVol. 38
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Openalex Percentile: Top 77%
Advanced Sensor Technologies Research
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