邻近效应下的协变量效应研究：信息综述

International Journal of Statistical Sciences Pub Date : 2024-03-28 DOI:10.3329/ijss.v24i1.72020

Sobita Sapam, Bikas K. Sinha, KK Singh Meitei

{"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":null,"pages":null},"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\":null,\"pages\":null},\"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}

引用次数: 0

摘要

参照高斯-马尔科夫模型，协方差分析（ANCOVA）是在存在协变量的情况下研究不同治疗效果的标准方法。同样，在存在 "邻近效应 "的情况下，我们以常规方式进行必要的数据分析。本文将对这一研究领域进行综述，包括协变量效应和邻近效应。国际统计科学杂志》，第 24（1）卷，2024 年 3 月，第 65-73 页

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

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

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊