{"title":"关于全球变暖的线性回归黑箱分析","authors":"Yoshiyasu Takefuji","doi":"10.1016/j.heha.2024.100109","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":73269,"journal":{"name":"Hygiene and environmental health advances","volume":"12 ","pages":"Article 100109"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773049224000229/pdfft?md5=8dea976b9745ec91f3c29a1401fbba02&pid=1-s2.0-S2773049224000229-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Black box analysis with linear regression on global warming\",\"authors\":\"Yoshiyasu Takefuji\",\"doi\":\"10.1016/j.heha.2024.100109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":73269,\"journal\":{\"name\":\"Hygiene and environmental health advances\",\"volume\":\"12 \",\"pages\":\"Article 100109\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2773049224000229/pdfft?md5=8dea976b9745ec91f3c29a1401fbba02&pid=1-s2.0-S2773049224000229-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hygiene and environmental health advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2773049224000229\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hygiene and environmental health advances","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773049224000229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Black box analysis with linear regression on global warming
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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