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首页> 外文期刊>The Annals of Statistics: An Official Journal of the Institute of Mathematical Statistics >Normal, gamma and inverse-Gaussian are the only NEFs where the bilateral UMPU and GLR tests coincide
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Normal, gamma and inverse-Gaussian are the only NEFs where the bilateral UMPU and GLR tests coincide

机译:正态,伽马和反高斯是仅有双边UMPU和GLR测试同时发生的NEF

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摘要

Consider an NEF F on the real line parametrized by theta is an element of Theta. Also let 00 be a specified value of theta. Consider the test of size alpha for a simple hypothesis H-0:theta = theta(0) versus two sided alternative H-1:theta not equal theta(0). A UMPU test of size alpha then exists for any given alpha. Suppose that F is continuous. Therefore the UMPU test is nonrandomized and then becomes comparable with the generalized likelihood ratio test (GLR). Under mild conditions we show that the two tests coincide iff F is either a normal or inverse Gaussian or gamma family. This provides a new global characterization of this set of NEFs. The proof involves a differential equation obtained by the cancelling of a determinant of order 6. [References: 6]
机译:考虑由theta参数化的实线上的NEF F是Theta的元素。同样令00为theta的指定值。考虑一个简单假设H-0:theta = theta(0)相对于两侧备选H-1:theta不等于theta(0)的大小为alpha的检验。然后,对于任何给定的alpha都存在大小为alpha的UMPU测试。假设F是连续的。因此,UMPU检验是非随机的,然后可以与广义似然比检验(GLR)相提并论。在温和的条件下,我们证明两个测试是一致的,前提是F是正态或反高斯或伽马族。这为这组NEF提供了新的全局特征。该证明涉及一个通过消除阶数为6的行列式获得的微分方程。[参考:6]

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