测试混合地理加权回归模型中的空间异方差性

IF 1.1 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Si-Lian Shen, Wen-Lu Yan, Jian-Ling Cui
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引用次数: 0

摘要

在混合地理加权回归分析中,误差项的空间同方差性是常见的假设。然而,在许多实际情况中,我们很少能事先知道误差项是否具有空间同方差性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testing spatial heteroscedasticity in mixed geographically weighted regression models
Spatial homoscedasticity of the error term is commonly assumed in mixed geographically weighted regression analysis. In many practical situations, however, rarely can we know a priori whether the e...
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来源期刊
Journal of Statistical Computation and Simulation
Journal of Statistical Computation and Simulation 数学-计算机:跨学科应用
CiteScore
2.30
自引率
8.30%
发文量
156
审稿时长
4-8 weeks
期刊介绍: Journal of Statistical Computation and Simulation ( JSCS ) publishes significant and original work in areas of statistics which are related to or dependent upon the computer. Fields covered include computer algorithms related to probability or statistics, studies in statistical inference by means of simulation techniques, and implementation of interactive statistical systems. JSCS does not consider applications of statistics to other fields, except as illustrations of the use of the original statistics presented. Accepted papers should ideally appeal to a wide audience of statisticians and provoke real applications of theoretical constructions.
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