Kullback–Leibler life time testing
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摘要
The paper deals with testing the hypotheses for homogeneity and point null value of the scale parameter in the gamma family. Tests suggested here are based upon the Kullback–Leibler divergence from an observed vector to the canonical parameter (see Pázman, 1993 [14]), and upon its decomposition. The latter is used to derive the exact distribution of the test statistic by convolution. A geometric integration method is used alternatively to derive the distribution directly. Because it is observed by simulation, that the test’s performance is poor when the shape parameter is estimated from the data, an interval method is developed and its use is demonstrated in an analysis of real data.
论文关键词:Information divergence,Deconvolution,Homogeneity and scale testing,Exact distribution,Lambert W,Intersection percentage function
论文评审过程:Available online 20 May 2014.
论文官网地址:https://doi.org/10.1016/j.amc.2014.04.027