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Moments of continuous bi-variate distributions: An alternative approach

机译:连续二元分布的矩:一种替代方法

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We propose a method of obtaining the moment of some continuous bi-variate distributions with parameters α_1,β_1 and α_2,β_2 in finding the nth moment of the variable x~cy~d (c≥0,d≥0) where X and Y are continuous random variables having the joint pdf, f(x,y).Here we find the so called g_n(c,d) defined g_n(c,d)=E(X~cY~d+γ)~n, the nth moment of expected value of the t distribution of the cth power of X and dth power of Y about the constant γ. These moments are obtained by the use of bi-variate moment generating functions, when they exist. The proposed g_n(c,d) is illustrated with some continuous bi-variate distributions and is shown to be easy to use even when the powers of the random variables being considered are non-negative real numbers that need not be integers. The results obtained using g_n(c,d) are the same as results obtained using other methods such as moment generating functions when they exist.
机译:我们提出一种在参数x〜cy〜d(c≥0,d≥0)的第n个矩中找到参数α_1,β_1和α_2,β_2的一些连续二元分布的矩的方法,其中X和Y是具有联合pdf,f(x,y)的连续随机变量。在这里,我们找到了所谓的g_n(c,d)定义的g_n(c,d)= E(X〜cY〜d +γ)〜n, X的c次幂和Y的d次幂的t分布的t期望值的第n矩关于常数γ。这些力矩通过使用二元矩生成函数(如果存在)获得。提出的g_n(c,d)用一些连续的双变量分布进行了说明,并且即使考虑的随机变量的幂是非负实数且不必是整数,也显示易于使用。使用g_n(c,d)获得的结果与使用其他方法(例如存在时的力矩生成函数)获得的结果相同。

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