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Quantile/expectile regression, and extreme data analysis

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Asymmetric MLE<br />

Asymmetric MLE III<br />

Notation<br />

t Notation<br />

Comments<br />

Y<br />

Response. Has mean µ, cdf F (y), pdf f (y)<br />

Q Y (τ) = τ-quantile of Y 0 < τ < 1<br />

ξ(τ) = ξ τ = τ-quantile Koenker <strong>and</strong> Bassett (1978), ξ( 1 ) = median<br />

2<br />

µ(ω) = µ ω = ω-<strong>expectile</strong> 0 < ω < 1, µ( 1 ) = µ, Newey <strong>and</strong> Powell (1987)<br />

2<br />

bξ(τ), bµ(ω)<br />

Sample quantiles <strong>and</strong> <strong>expectile</strong>s<br />

centile<br />

Same as quantile <strong>and</strong> percentile here<br />

<strong>regression</strong> quantile Koenker <strong>and</strong> Bassett (1978)<br />

<strong>regression</strong> <strong>expectile</strong> Newey <strong>and</strong> Powell (1987)<br />

<strong>regression</strong> percentile All forms of asymmetric fitting, Efron (1992)<br />

ρ τ (u) = u · (τ − I (u < 0)) Check function corresponding to ξ(τ)<br />

ρ [2]<br />

ω (u) = u 2 · |ω − I (u < 0)| Check function corresponding to µ(ω)<br />

u + = max(u, 0)<br />

Positive part of u<br />

u − = min(u, 0)<br />

Negative part of u<br />

© T. W. Yee (University of Auckl<strong>and</strong>) <strong>Quantile</strong>/<strong>expectile</strong> <strong>regression</strong>, <strong>and</strong> <strong>extreme</strong> <strong>data</strong> <strong>analysis</strong> 18 July 2012 @ Cagliari 46/101/

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