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Quantile-based estimators (Q-estimators) can be used to fit any parametric distribution, using its quantile function. Q-estimators are usually more robust than standard maximum likelihood estimators. The method is described in: Sottile G. and Frumento P. (2022). Robust estimation and regression with parametric quantile functions. doi:10.1016/j.csda.2022.107471.
www.sciencedirect.com/science/article/abs/pii/S0167947322000512 |
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