Goodness-of-fit testing for meta-analysis of rare binary events [PDF]
Scientific Reports, 2023 Random-effects (RE) meta-analysis is a crucial approach for combining results from multiple independent studies that exhibit heterogeneity. Recently, two frequentist goodness-of-fit (GOF) tests were proposed to assess the fit of RE model.
Ming Zhang +3 more
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Nonparametric goodness‐of‐fit testing for parametric covariate models in pharmacometric analyses [PDF]
CPT: Pharmacometrics & Systems Pharmacology, 2021 The characterization of covariate effects on model parameters is a crucial step during pharmacokinetic/pharmacodynamic analyses. Although covariate selection criteria have been studied extensively, the choice of the functional relationship between ...
Niklas Hartung +3 more
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Gradient-Free Kernel Conditional Stein Discrepancy goodness of fit testing
Machine Learning with Applications, 2023 In this study, we propose a gradient-free statistical goodness-of-fit test for determining if a joint sample (xi,yi)is drawn from p(y|x)πxfor some density πxgiven a conditional distribution.
Elham Afzali, Saman Muthukumarana
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Testing EBU_mgf Class of Life Distributions based on Goodness of Fit approach [PDF]
Journal of Statistical Theory and Applications (JSTA), 2016 Based on the goodness of fit approach, a new test is presented for testing exponentiality against "exponential Better than Used in moment generating function ordering class" (EBUmgf). The critical values and the powers of this test are calculated.
A.M. Gadallah
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Testing for goodness rather than lack of fit of continuous probability distributions.
PLoS ONE, 2021 The vast majority of testing procedures presented in the literature as goodness-of-fit tests fail to accomplish what the term is promising. Actually, a significant result of such a test indicates that the true distribution underlying the data differs ...
Stefan Wellek
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Score-Based Hypothesis Testing for Unnormalized Models
IEEE Access, 2022 Unnormalized statistical models play an important role in machine learning, statistics, and signal processing. In this paper, we derive a new hypothesis testing procedure for unnormalized models. Our approach is motivated by the success of score matching
Suya Wu +4 more
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Exploiting the information content of hydrological ''outliers'' for goodness-of-fit testing [PDF]
Hydrology and Earth System Sciences, 2010 Validation of probabilistic models based on goodness-of-fit tests is an essential step for the frequency analysis of extreme events. The outcome of standard testing techniques, however, is mainly determined by the behavior of the hypothetical model, < ...
F. Laio, P. Allamano, P. Claps
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Goodness of fit of the items used in the 2nd cycle of evaluation and accreditation of medical schools by the Korea Institute of Medical Education and Evaluation based on the Rasch model [PDF]
Journal of Educational Evaluation for Health Professions, 2019 Purpose Since 2004, the Korea Institute of Medical Education and Evaluation has been responsible for the evaluation and accreditation of medical schools in Korea. The 2nd cycle of evaluations was conducted from 2007 to 2011.
Man Sup Lim, Sun Huh
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Testing Goodness-of-Fit of Parametric Spatial Trends
Proceedings, 2018 The aim of this work is to propose and analyze the behavior of a test statistic to assess a parametric trend surface, that is, a regression model with spatially correlated errors.
Andrea Meilán-Vila +3 more
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Testing goodness-of-fit of random graph models [PDF]
, 2012 Random graphs are matrices with independent 0, 1 elements with probabilities determined by a small number of parameters. One of the oldest model is the Rasch model where the odds are ratios of positive numbers scaling the rows and columns.
Csiszár, Villö +5 more
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