TESTS OF HYPOTHESES FOR THE DISTANCE BETWEEN POPULATIONS ON THE MIXTURE OF CATEGORICAL AND CONTINUOUS VARIABLES

H. Nakanishi
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引用次数: 5

Abstract

In this paper, we study tests of two hypotheses on the distance between two populations with mixed variables, where some are categorical and the others are continuous. This distance is the extended Mahalanobis squared distance on the location model. Asymptotic probability distributions of the test statistics under the hypotheses are introduced, and the performances of the tests are investigated through simulation methods. As a result of all simulations, we recommend that the two hypotheses tests have to be used together to improve each other's weaknesses.
在分类变量和连续变量混合的情况下,对种群间距离的假设检验
在本文中,我们研究了两个混合变量种群之间距离的两个假设的检验,其中一些是分类的,另一些是连续的。这个距离是位置模型上的扩展马氏平方距离。介绍了检验统计量在假设条件下的渐近概率分布,并通过仿真方法研究了检验的性能。作为所有模拟的结果,我们建议两个假设测试必须一起使用,以改善彼此的弱点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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