A Test of Fit for Bivariate Distributions

R. C. Dahiya, J. Gurland
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引用次数: 9

Abstract

Abstract : Tests of fit based on generalized minimum chi-square techniques are developed for bivariate distributions. The asymptotic null distribution of the test statistic is chi square while the asymptotic non-null distribution turns out to be that of a weighted sum of independent non-central chi square variates. The special case of testing the fit of a bivariate normal distribution is investigated in detail and the power is obtained for several alternative families of bivariate distributions. (Author)
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二元分布的拟合检验
摘要:提出了基于广义最小卡方技术的二元分布拟合检验方法。检验统计量的渐近零分布是卡方分布,而渐近非零分布是独立的非中心卡方变量的加权和。详细研究了二元正态分布拟合检验的特殊情况,并给出了几种二元分布的幂次。(作者)
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