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首页> 外文期刊>Communications in statistics: theory and methods >Distributions of Ratios of Two Correlated Skew-Normal Variables and of Ratios of Two Linear Functions of Order Statistics from Bivariate Normal Distribution
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Distributions of Ratios of Two Correlated Skew-Normal Variables and of Ratios of Two Linear Functions of Order Statistics from Bivariate Normal Distribution

机译:基于二元正态分布的两个相关偏斜正态变量的比率分布和两个阶数统计线性函数的比率分布

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摘要

In this article, we first derive the distribution of the ratio of two correlated skew-normal variables. Then, with (X_1, X_2)~T ~ N_2(0, 0, σ_1~2, σ_2~2, ρ), where |ρ| < 1, and (X_(1:2), X_(2:2))~T denoting the corresponding order statistics, we consider two linear functions of these order statistics, viz., a_1X_(1:2) + a_2X_(2:2) and b_1X_(1:2) + b_2X_(2:2), and derive explicit expressions for the cumulative distribution function (cdf) and probability density function (pdf) of the ratios Y_1 = (a_1 X_(1:2)+a_2 X_(2:2))/(b_1 X_(1:2)+b_2 X_(2:2)) and Y_2 = (a_1 X_(1:2)+a_2 X_(2:2))/(|b_1 X_(1:2)+b_2 X_(2:2)|).
机译:在本文中,我们首先导出两个相关的倾斜正态变量的比率分布。然后,用(X_1,X_2)〜T〜N_2(0,0,σ_1〜2,σ_2〜2,ρ),其中|ρ| <1,并且(X_(1:2),X_(2:2))〜T表示相应的订单统计,我们考虑这些订单统计的两个线性函数,即a_1X_(1:2)+ a_2X_(2 :2)和b_1X_(1:2)+ b_2X_(2:2),并得出比率Y_1 =(a_1 X_(1:2)的累积分布函数(cdf)和概率密度函数(pdf)的显式表达式+ a_2 X_(2:2))/(b_1 X_(1:2)+ b_2 X_(2:2))和Y_2 =(a_1 X_(1:2)+ a_2 X_(2:2))/(| b_1 X_(1:2)+ b_2 X_(2:2)|)。

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