Results 11 to 20 of about 79,500 (260)
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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Goodness-of-Fit Tests on Manifolds [PDF]
IEEE Transactions on Information Theory, 2021 We develop a general theory for the goodness-of-fit test to non-linear models. In particular, we assume that the observations are noisy samples of a submanifold defined by a \yao{sufficiently smooth non-linear map}. The observation noise is additive Gaussian.
Alexander Shapiro 0001 +2 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
doaj +1 more source
Tuning goodness-of-fit tests† [PDF]
Monthly Notices of the Royal Astronomical Society, 2019 10 pages, 11 ...
A Arrasmith, B Follin, E Anderes, L Knox
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Testing EBUCA Class of Life Distribution Based on Goodness of Fit Approach [PDF]
The Egyptian Statistical Journal, 2007 Test statistics for testing exponentiality against exponential better (worse) than used in convex average EBUCA is proposed in non-censored and censored cases by using goodness of fit approach. Selected critical values are tabulated.
Ibrahim Abdul-Moniem
doaj +1 more source
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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KSD Aggregated Goodness-Of-Fit Test
Advances in Neural Information Processing Systems 35, 2022 We investigate properties of goodness-of-fit tests based on the Kernel Stein Discrepancy (KSD). We introduce a strategy to construct a test, called KSDAgg, which aggregates multiple tests with different kernels. KSDAgg avoids splitting the data to perform kernel selection (which leads to a loss in test power), and rather maximises the test power over a
Schrab, Antonin +2 more
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