Semi-parametric modelling of temperature records

被引：2
|
作者：
Mills, Terence C. [1 ]
机构：
[1] Univ Loughborough, Sch Business & Econ, Loughborough, Leics, England
来源：
JOURNAL OF APPLIED STATISTICS | 2012年 / 39卷 / 02期
关键词：
temperature records; non-stationarity; trends; empirical densities; quantile autoregression; unit roots; NORTHERN-HEMISPHERE TEMPERATURES; TRENDING TIME-SERIES; UNIT-ROOT; QUANTILE AUTOREGRESSION; ECONOMETRICS; CHALLENGES; REGRESSION;
D O I：
10.1080/02664763.2011.590190
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：
A range of instrumental and proxy temperature records are examined semi-parametrically, using empirical densities and quantile autoregressions containing a unit root, to assess the extent of non-stationarity and the presence of global warming trends. Only the instrumental records covering the last century and a half show any evidence of non-stationarity, but the trend behaviour of these series remains elusive.
引用
收藏
页码：361 / 383
页数：23
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