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Table 13 Coefficients of the Q R ,Q W and LS μ LS regression for CO2 emission example

From: High quantile regression for extreme events

Ï„

Weight

\(\widehat {\beta }_{0}{ (\tau)}\)

\(\widehat {\beta }_{1}{ (\tau)}\)

\(\widehat {\beta }_{2}{(\tau)}\)

LS

−

–22.5009

2.0708

1.2998

0.95

Q R

–41.6856

5.8924

0.5527

 

Q W

–29.9131

5.1521

–0.2094

0.96

Q R

–44.8147

5.4258

1.9505

 

Q W

–24.5504

4.4470

0.1609

0.97

Q R

–46.7095

5.6513

2.4429

 

Q W

–37.4893

5.1502

1.4934

0.98

Q R

–47.4004

5.7323

2.4739

 

Q W

–47.4004

5.7323

2.4739

0.99

Q R

–51.2657

6.1856

2.6475

 

Q W

–51.2657

6.1856

2.6475