Testing exponentiality based on Kullback-Leibler information

N. Ebrahimi, M. Habibullah, E. Soofi
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引用次数: 183

Abstract

In this paper a test of fit for exponentiality based on the estimated Kullback-Leibler information is proposed. The procedure is applicable when the exponential parameter is or is not specified under the null hypothesis. The test uses the Vasicek entropy estimate, so to compute it a window size m must first be fixed. A procedure for choosing m for various sample sizes is proposed and corresponding critical values are computed by Monte Carlo simulations
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基于Kullback-Leibler信息的指数性检验
本文提出了一种基于估计的Kullback-Leibler信息的指数拟合检验方法。当在零假设下指定或不指定指数参数时,该过程适用。该测试使用Vasicek熵估计,因此要计算它,窗口大小m必须首先是固定的。提出了在不同样本量下选择m的方法,并通过蒙特卡罗模拟计算了相应的临界值
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