Powerful goodness‐of‐fit tests based on the likelihood ratio

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Powers of Discrete Goodness-of-Fit Test Statistics for a Uniform Null Against a Selection of Alternative Distributions (2006, background): “Recent advancements of the test statistics for continuous distributions can be found in Zhang (2002) and Einmahl and McKeague (2003).”
Fitting Daily Rainfall Amount in Peninsular Malaysia Using Several Types of Exponential Distributions (2007, methodology): “In order to verify the suitable distribution that best describes the rainfall amount, the new method of goodness-of-fit tests (GOF) based on the likelihood ratio statistics which has been developed by Zhang and Zhang and Wu will be [19] [2 0 ]”
Towards data driven selection of a penalty function for data driven Neyman tests (2006, methodology): “Instead, in the next section we present a fragment of a simulation study, we performed to investigate the power behaviour of NT 1 for finite samples and to compare it with a recently introduced test based on the likelihood ratio (see [28]).”
LIKELIHOOD MOMENT ESTIMATION FOR THE GENERALIZED PARETO DISTRIBUTION (2007, background): “For more about the goodness-of-fit tests, refer to Zhang (2002) and Choulakian & Stephens (2001).”