Contrails: Causal Interference Using Propensity Scores

被引：0

作者：

Barron, Dean S. ^{[1
]}

Brown, Joe H. ^{[1
]}

机构：

[1] Twobluecats Com, Long Beach, CA 90803 USA

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2015年 / 14卷 / 02期

关键词：

Contrails; contrails effect; airplane exhaust; causal inference; propensity score; resampling; logistic regression; regression; MCMC;

D O I：

10.22237/jmasm/1446351420

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Contrails are clouds caused by airplane exhausts, which geologists contend decrease daily temperature ranges on Earth. Following the 2001 World Trade Center attack, cancelled domestic flights triggered the first absence of contrails in decades. Resultant exceptional data capacitated causal inference analysis by propensity score matching. Estimated contrail effect was 6.8981 degrees F.

引用

页码：236 / 256

页数：21

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