Quantile/expectile regression, and extreme data analysis
Quantile/expectile regression, and extreme data analysis
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/