期刊
GEOGRAPHICAL ANALYSIS
卷 48, 期 3, 页码 233-247出版社
WILEY-BLACKWELL
DOI: 10.1111/gean.12084
关键词
-
类别
资金
- CNPq (Conselho Nacional de Desenvolvimento Cientifico e Tecnologico) - Brazil
- Arizona State University
This article describes the problem of multiple testing within a Geographically Weighted Regression framework and presents a possible solution to the problem which is based on a family-wise error rate for dependent processes. We compare the solution presented here to other solutions such as the Bonferroni correction and the Byrne, Charlton, and Fotheringham proposal which is based on the Benjamini and Hochberg False Discovery Rate. We conclude that our proposed correction is superior to others and that generally some correction in the conventional t-test is necessary to avoid false positives in GWR.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据