周氏测试的双向推广:一般情况

Jagabandhu Saha
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引用次数: 0

摘要

虽然Chow检验适用于检验two Â线性回归中系数集之间的相等性,但本文试图构建一个检验程序,不仅可以比较两个线性回归中系数集之间的相等性,而且在它们不相等的情况下,可以提供集合不相等的详细信息。不仅如此,在本文中,我们也试图完成所有这些不仅为两个线性回归,而且为任何数量的给定线性回归中的所有可能的线性回归对,从而在两个方向上推广了Chow检验。然后,通过使用NSS数据对印度农村不同社会经济群体的食物的恩格尔曲线进行比较,说明了该程序。
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A Two-Way Generalisation of The Chow Test: The General Case
ABSTRACT While Chow test is applicable for testing the equality between sets of coefficients in two   linear regressions, this paper attempts to construct a test procedure not only to compare the equality between sets of coefficients in two linear regressions, but also, in case they are not equal, to provide detailed informations about the inequality of the sets. Not only that, in this paper we also try to accomplish all these for not just only two linear regressions but for all possible pairs of linear regressions out of any number of given linear regressions, thus generalising the Chow test in two directions. The procedure is then illustrated through comparison of Engel curves on food for different Socioeconomic groups of Rural India, using NSS data.
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