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https://arxiv.org/abs/0806.2985 [0806.2985] Adaptive goodness-of-fit tests based on signed ranks Abstract page for arXiv paper 0806.2985: Adaptive goodness-of-fit tests based on signed ranks goodness of fit tests based on 0806 2985 adaptive https://deepai.org/publication/goodness-of-fit-tests-for-stochastic-frontier-models-based-on-the-characteristic-function Goodness-of-fit tests for stochastic frontier models based on the characteristic function | DeepAI Feb 27, 2022 - 02/27/22 - We consider goodness-of-fit tests for the distribution of the composed error in Stochastic Frontier Models. The proposed test stat... goodness of fit tests https://www.scirp.org/journal/PaperInformation?paperID=86874& Asymptotic Results for Goodness-of-Fit Tests Using a Class of Generalized Spacing Methods with... Discover how pseudo distances and spacings can be used to test goodness-of-fit for parametric models. Learn about a generalized spacing method and its... goodness of fit tests https://jmlr.org/papers/v26/24-0276.html Composite Goodness-of-fit Tests with Kernels goodness of fit tests composite kernels https://deepai.org/publication/cauchy-or-not-cauchy-new-goodness-of-fit-tests-for-the-cauchy-distribution Cauchy or not Cauchy? New goodness-of-fit tests for the Cauchy distribution | DeepAI Jun 24, 2021 - 06/24/21 - We introduce a new characterization of the Cauchy distribution and propose a class of goodness-of-fit tests to the Cauchy family. ... goodness of fit tests not new https://openreview.net/forum?id=iubaXtWi0Y3 Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy |... We make precise a known low-test-power issue of GOF tests based on KSD when the null distribution has well-separated modes, and propose to perturb the null and... goodness of fit tests https://www.scirp.org/journal/PaperInformation?PaperID=86874& Asymptotic Results for Goodness-of-Fit Tests Using a Class of Generalized Spacing Methods with... A class of pseudo distances is used to derive test statistics using transformed data or spacings for testing goodness-of-fit for parametric models. These... goodness of fit tests