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Monkeying with the Goodness-of-Fit Test [PDF]

open access: yesJournal 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   +4 more sources

Multiscale image denoising using goodness-of-fit test based on EDF statistics. [PDF]

open access: yesPLoS ONE, 2019
Two novel image denoising algorithms are proposed which employ goodness of fit (GoF) test at multiple image scales. Proposed methods operate by employing the GoF tests locally on the wavelet coefficients of a noisy image obtained via discrete wavelet ...
Khuram Naveed   +4 more
doaj   +2 more sources

A New Parametric Life Distribution with Modified Bagdonavičius–Nikulin Goodness-of-Fit Test for Censored Validation, Properties, Applications, and Different Estimation Methods [PDF]

open access: yesEntropy, 2020
In this paper, we first study a new two parameter lifetime distribution. This distribution includes “monotone” and “non-monotone” hazard rate functions which are useful in lifetime data analysis and reliability.
Mahmoud Mansour   +5 more
doaj   +2 more sources

A Kernel Test of Goodness of Fit [PDF]

open access: yes, 2016
We propose a nonparametric statistical test for goodness-of-fit: given a set of samples, the test determines how likely it is that these were generated from a target density function. The measure of goodness-of-fit is a divergence constructed via Stein's
Chwialkowski, K   +2 more
core   +4 more sources

Goodness-of-fit Tests in Nonparametric Regression [PDF]

open access: yesSSRN Electronic Journal, 2006
AMS classifications: 62G08, 62G10, 62G20, 62G30; 60F17.Goodness-of-fit;nonparametric regression;test for independence;weak ...
Einmahl, J.H.J., Keilegom, I. van
core   +10 more sources

Goodness-of-Fit Tests on Manifolds [PDF]

open access: yesIEEE 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]

open access: yesNeutrosophic 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

open access: yesAxioms, 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

open access: yesSichuan 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

open access: yesFuzzy 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

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