and Scaled Box-Cox transformation.
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Scaled Box-Cox Quantile Regression Using the Geometric Mean as The Scaling Factor
Abstract: Box-Cox transformation since its proposal has been modified by many authors. It was extended to quantile regression as Box-Cox quantile regression. An option of Box-Cox transformation that doesn’t appear to have been explored much in literature is the scaled Box-Cox transformation. This study extends the Box-Cox quantile regression to accommodate scaling of the response variable using the geometric mean as the scaling factor. A simulation study demonstrates that the scaled …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 29–33 Read article