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Quantile Regression
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by
Roger Koenker, Professor Andrew Chesher (Editor), Matthew Jackson (Editor)
Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By complementing the exclusive focus of classical least squares regression on the conditional mean, quantile regression offers a systematic strategy for examining how covariates influence the location, scale and ...
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