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DOE OSTI · 1830589

Case study: Accounting for response measurement error in fitting a regression model

Hamada, Michael Scott·Mang, Joseph Thomas
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Abstract

This article presents a case study motivated by a plot of data that suggested an emerging trend that the authors were faced with explaining. When the measurement error of the data is accounted for, it turns out there was no real trend. Furthermore, this article shows how to use a Bayesian modeling approach to account for the measurement error.

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42 ENGINEERINGBayesian inferencenormal measurement errorsimple linear regression

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Hamada, Michael Scott, Mang, Joseph Thomas. 2021-06-14. Case study: Accounting for response measurement error in fitting a regression model. https://doi.org/10.1080/08982112.2021.1905165

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