Results 11 to 20 of about 761,301 (258)

Testing goodness-of-fit of random graph models [PDF]

open access: yes, 2012
Random graphs are matrices with independent 0, 1 elements with probabilities determined by a small number of parameters. One of the oldest model is the Rasch model where the odds are ratios of positive numbers scaling the rows and columns.
Csiszár, Villö   +5 more
core   +4 more sources

Efficient algorithm for testing goodness-of-fit for classification of high dimensional data

open access: yesLietuvos Matematikos Rinkinys, 2009
Let us have a sample satisfying d-dimensional Gaussian mixture model (d is supposed to be large). The problem of classification of the sample is considered. Because of large dimension it is natural to project the sample to k-dimensional (k = 1,  2, . . .)
Gintautas Jakimauskas
doaj   +1 more source

Goodness of fit for stochastic actor-oriented models

open access: yesMethodological Innovations, 2019
We propose a Mahalanobis distance–based Monte Carlo goodness of fit testing procedure for the family of stochastic actor-oriented models for social network evolution.
Josh Lospinoso, Tom AB Snijders
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

Goodness of fit in models for mortality data [PDF]

open access: yes, 2008
Mortality data on an aggregate level are characterized by very large sample sizes. For this reason, uninformative outcomes are evident in common Goodness-of-Fit measures.
Camarda, Carlo Giovanni, Durbán, María
core   +7 more sources

Goodness–of–Fit Tests for Bivariate Time Series of Counts

open access: yesEconometrics, 2021
This article considers goodness-of-fit tests for bivariate INAR and bivariate Poisson autoregression models. The test statistics are based on an L2-type distance between two estimators of the probability generating function of the observations: one being
Šárka Hudecová   +2 more
doaj   +1 more source

Some Goodness of Fit Tests for Random Sequences

open access: yesLithuanian Journal of Statistics, 2013
In this paper we had made an attempt to incorporate the results from the theory of square Gaussian random variables in order to construct the goodness of fits test for random sequences (time series). We considered two versions of such tests.
Yuriy Kozachenko, Tetiana Ianevych
doaj   +1 more source

A Novel Goodness-of-Fit Test for Cauchy Distribution

open access: yesJournal 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 frequentist analysis of solar neutrino data [PDF]

open access: yes, 2000
We calculate with Monte Carlo the goodness of fit and the confidence level of the standard allowed regions for the neutrino oscillation parameters obtained from the fit of solar neutrino data.
Abdurashitov   +43 more
core   +3 more sources

Multivariate goodness-of-fit tests based on kernel density estimators

open access: yesNonlinear Analysis, 2015
The paper is devoted to multivariate goodness-of-fit ests based on kernel density estimators. Both simple and composite null hypotheses are investigated.
Aleksej Bakshaev, Rimantas Rudzkis
doaj   +1 more source

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