{"title":"对Griffiths和Hill(2022)《关于线性模型中假设的f检验的威力》的评论","authors":"R. Christensen","doi":"10.1080/00031305.2022.2074541","DOIUrl":null,"url":null,"abstract":"Griffiths and Hill (2022) showed that when testing an hypothesis in linear models, it can sometimes be advantageous to incorporate components into the hypothesis that are true. They assume a true linear model and that a constraint R 2 β = d 2 is true. They are interested in comparing the powers of three F tests for H 0 : R 1 β = d 1 :","PeriodicalId":342642,"journal":{"name":"The American Statistician","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comment on “On the Power of the F-test for Hypotheses in a Linear Model” by Griffiths and Hill (2022)\",\"authors\":\"R. Christensen\",\"doi\":\"10.1080/00031305.2022.2074541\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Griffiths and Hill (2022) showed that when testing an hypothesis in linear models, it can sometimes be advantageous to incorporate components into the hypothesis that are true. They assume a true linear model and that a constraint R 2 β = d 2 is true. They are interested in comparing the powers of three F tests for H 0 : R 1 β = d 1 :\",\"PeriodicalId\":342642,\"journal\":{\"name\":\"The American Statistician\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The American Statistician\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/00031305.2022.2074541\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The American Statistician","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/00031305.2022.2074541","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comment on “On the Power of the F-test for Hypotheses in a Linear Model” by Griffiths and Hill (2022)
Griffiths and Hill (2022) showed that when testing an hypothesis in linear models, it can sometimes be advantageous to incorporate components into the hypothesis that are true. They assume a true linear model and that a constraint R 2 β = d 2 is true. They are interested in comparing the powers of three F tests for H 0 : R 1 β = d 1 :
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