{"title":"统计分析","authors":"T. Holt","doi":"10.4324/9781003070993-24","DOIUrl":null,"url":null,"abstract":"Uncertainty in historical oil market related data relates to a variety of factors: diverse reporting methodologies, revisions in reporting, reporting units, as well as estimation. Quantifying uncertainty in reported historical oil data for fundamental flows, such as supply, demand, stocks, trade and others would undoubtedly contribute in addressing forecasting. This research would provide statistical uncertainties, from different perspectives taking into consideration, definitions, statistical criteria and limitations.","PeriodicalId":371569,"journal":{"name":"Handbook for Research Students in the Social Sciences","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical Analysis\",\"authors\":\"T. Holt\",\"doi\":\"10.4324/9781003070993-24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Uncertainty in historical oil market related data relates to a variety of factors: diverse reporting methodologies, revisions in reporting, reporting units, as well as estimation. Quantifying uncertainty in reported historical oil data for fundamental flows, such as supply, demand, stocks, trade and others would undoubtedly contribute in addressing forecasting. This research would provide statistical uncertainties, from different perspectives taking into consideration, definitions, statistical criteria and limitations.\",\"PeriodicalId\":371569,\"journal\":{\"name\":\"Handbook for Research Students in the Social Sciences\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Handbook for Research Students in the Social Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4324/9781003070993-24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Handbook for Research Students in the Social Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4324/9781003070993-24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Uncertainty in historical oil market related data relates to a variety of factors: diverse reporting methodologies, revisions in reporting, reporting units, as well as estimation. Quantifying uncertainty in reported historical oil data for fundamental flows, such as supply, demand, stocks, trade and others would undoubtedly contribute in addressing forecasting. This research would provide statistical uncertainties, from different perspectives taking into consideration, definitions, statistical criteria and limitations.