Black box analysis with linear regression on global warming

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Abstract

This paper demonstrates that the conclusions drawn from datasets on global temperature anomaly and atmospheric CO2 from NOAA can vary depending on the range of investigated periods. By examining the data from both macroscopic and microscopic perspectives, the study reveals that different levels of analysis can produce different outcomes from the same datasets based on statistics.

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关于全球变暖的线性回归黑箱分析
本文表明,从 NOAA 提供的全球温度异常和大气二氧化碳数据集得出的结论会因调查时段范围的不同而不同。通过从宏观和微观角度对数据进行研究,本研究揭示了不同层次的分析可以从基于统计的相同数据集中得出不同的结果。
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来源期刊
Hygiene and environmental health advances
Hygiene and environmental health advances Environmental Science (General)
CiteScore
1.10
自引率
0.00%
发文量
0
审稿时长
38 days
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