Results 11 to 20 of about 4,272,068 (257)
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
openaire +9 more sources
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
openaire +2 more sources
A new Cramèr–von Mises Goodness-of-fit test under Uncertainty [PDF]
Neutrosophic Sets and Systems, 2022 The Cramer-von Mises test is commonly used to determine how well-observed sample data fits a given model. The existing Cramer-von Mises test under traditional statistics is commonly used when sample data in reliability work are resolute and precise.
Muhammad Ahsan-ul-Haq
doaj +1 more source
Goodness-of-Fit Test for the Bivariate Hermite Distribution
Axioms, 2022 This paper studies the goodness of fit test for the bivariate Hermite distribution. Specifically, we propose and study a Cramér–von Mises-type test based on the empirical probability generation function. The bootstrap can be used to consistently estimate
Pablo González-Albornoz +1 more
doaj +1 more source
How to use χ2 test correctly—— the goodness of fit tests and the implementation of the SAS software
Sichuan jingshen weisheng, 2021 The purpose of this article was to introduce the goodness of fit test and its SAS implementation. The main contents included the following four aspects： ① Pearson΄s goodness of fit test； ② deviance or likelihood ratio goodness of fit test； ③ Hosmer ...
Hu Chunyan, Hu Liangping
doaj +1 more source
A Goodness-of-Fit Test Based on Fuzzy Random Variables
Fuzzy Information and Engineering, 2023 During the last decades, several methods have been proposed for Kolmogorov−Smirnov one-sample test based on fuzzy random variables to describe the impression of classical random variables. However, such techniques do not discuss the modeling of imprecise
Gholamreza Hesamian +2 more
doaj +1 more source
A Novel Goodness-of-Fit Test for Cauchy Distribution
Journal of Mathematics, 2023 Recently, several goodness-of-fit tests for Cauchy distribution have been introduced based on Kullback–Leibler divergence and likelihood ratio. It is claimed that these tests are more powerful than the well-known goodness-of-fit tests such as Kolmogorov ...
A. Pekgör
doaj +1 more source
A Multi-Aspect Permutation Test for Goodness-of-Fit Problems
Stats, 2022 Parametric techniques commonly rely on specific distributional assumptions. It is therefore fundamental to preliminarily identify the eventual violations of such assumptions. Therefore, appropriate testing procedures are required for this purpose to deal
Rosa Arboretti +5 more
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
openaire +2 more sources
Monkeying with the Goodness-of-Fit Test
Journal of Statistical Software, 2005 The familiar Σ(OBS - EXP) 2/EXP goodness-of-fit measure is commonly used to test whether an observed sequence came from the realization of n independent identically distributed (iid) discrete random variables.
George Marsaglia
doaj +3 more sources