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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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Composite Goodness-of-fit Tests with Kernels
J. Mach. Learn. Res., 2021 Model misspecification can create significant challenges for the implementation of probabilistic models, and this has led to development of a range of robust methods which directly account for this issue. However, whether these more involved methods are required will depend on whether the model is really misspecified, and there is a lack of generally ...
Oscar Key +3 more
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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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Goodness-of-Fit Tests in Nonparametric Regression [PDF]
SSRN Electronic Journal, 2006 AMS classifications: 62G08, 62G10, 62G20, 62G30; 60F17.
Einmahl, J.H.J., Keilegom, I. van
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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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The Information Geometry of Sparse Goodness-of-Fit Testing
Entropy, 2016 This paper takes an information-geometric approach to the challenging issue of goodness-of-fit testing in the high dimensional, low sample size context where—potentially—boundary effects dominate. The main contributions of this paper are threefold: first,
Paul Marriott +3 more
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Testing Goodness-of-Fit with the Kernel Density Estimator: GoFKernel
Journal of Statistical Software, 2015 To assess the goodness-of-fit of a sample to a continuous random distribution, the most popular approach has been based on measuring, using either L∞ - or L2 -norms, the distance between the null hypothesis cumulative distribution function and the ...
Jose M. Pavia
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Frontiers in Psychology, 2021 Statistical mediation analysis is used to investigate mechanisms through which a randomized intervention causally affects an outcome variable. Mediation analysis is often carried out in a pretest-posttest control group design because it is a common ...
Matthew J. Valente +2 more
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sphstat: A Python package for inferential statistics on vectorial data on the unit sphere
SoftwareX, 2023 Data that resides on the surface of a 2-sphere is common in various scientific fields, including physics, earth sciences, astronomy, and psychoacoustics.
Hüseyin Hacıhabiboğlu
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Multinomial Goodness-Of-Fit Tests
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1984 SUMMARY This article investigates the family {I λ;λ ϵ ℝ} of power divergence statistics for testing the fit of observed frequencies {Xi; i = 1, …, k} to expected frequencies {Ei; i = 1, …, k}. From the definition 2nIλ=2λ(λ+1)∑i=1kXi{(XiEi)λ−1};λ∈ℝ it can easily be seen that Pearson's X 2 (λ = 1), the log likelihood ratio
Cressie, Noel A, Read, Timothy
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