A novel relative entropy-posterior predictive model checking approach with limited information statistics for latent trait models in sparse 2k contingency tables
作者： Huiping Wu , Ka-Veng Yuen , Shing-On Leung
DOI: 10.1016/J.CSDA.2014.06.004
关键词: Statistical hypothesis testing 、 Kullback–Leibler divergence 、 Statistics 、 Contingency table 、 Bayesian inference 、 Univariate 、 Goodness of fit 、 Sample size determination 、 Model checking 、 Mathematics
摘要: Limited information statistics have been recommended as the goodness-of-fit measures in sparse 2 k contingency tables, but the p-values of these test statistics are computationally …
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