{"title":"邻近效应下的协变量效应研究 :信息综述","authors":"Sobita Sapam, Bikas K. Sinha, KK Singh Meitei","doi":"10.3329/ijss.v24i1.72020","DOIUrl":null,"url":null,"abstract":"With reference to a Gauss-Markov Model, Analysis of Covariance (ANCOVA) is a standard exercise in the study of differential treatment effects in the presence of covariates. Again in the presence of ‘Neighbor Effects’, we carry out necessary data analysis in a routine manner. In this paper we present a review of this area of research, encompassing both covariates’ effects and neighbor effects. \nInternational Journal of Statistical Sciences, Vol.24(1), March, 2024, pp 65-73","PeriodicalId":512956,"journal":{"name":"International Journal of Statistical Sciences","volume":"30 42","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study of Covariates’ Effects in the Presence of Neighbor Effects : An Informative Review\",\"authors\":\"Sobita Sapam, Bikas K. Sinha, KK Singh Meitei\",\"doi\":\"10.3329/ijss.v24i1.72020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With reference to a Gauss-Markov Model, Analysis of Covariance (ANCOVA) is a standard exercise in the study of differential treatment effects in the presence of covariates. Again in the presence of ‘Neighbor Effects’, we carry out necessary data analysis in a routine manner. In this paper we present a review of this area of research, encompassing both covariates’ effects and neighbor effects. \\nInternational Journal of Statistical Sciences, Vol.24(1), March, 2024, pp 65-73\",\"PeriodicalId\":512956,\"journal\":{\"name\":\"International Journal of Statistical Sciences\",\"volume\":\"30 42\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Statistical Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3329/ijss.v24i1.72020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Statistical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3329/ijss.v24i1.72020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study of Covariates’ Effects in the Presence of Neighbor Effects : An Informative Review
With reference to a Gauss-Markov Model, Analysis of Covariance (ANCOVA) is a standard exercise in the study of differential treatment effects in the presence of covariates. Again in the presence of ‘Neighbor Effects’, we carry out necessary data analysis in a routine manner. In this paper we present a review of this area of research, encompassing both covariates’ effects and neighbor effects.
International Journal of Statistical Sciences, Vol.24(1), March, 2024, pp 65-73