Results 21 to 30 of about 206,381 (135)
Efficient algorithm for testing goodness-of-fit for classification of high dimensional data
Lietuvos 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
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Goodness–of–Fit Tests for Bivariate Time Series of Counts
Econometrics, 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
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Multivariate goodness-of-fit tests based on kernel density estimators
Nonlinear 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
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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
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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
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Some Goodness of Fit Tests for Random Sequences
Lithuanian 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
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Tuning goodness-of-fit tests† [PDF]
Monthly Notices of the Royal Astronomical Society, 2019 As modern precision cosmological measurements continue to show agreement with the broad features of the standard $ $-Cold Dark Matter ($ $CDM) cosmological model, we are increasingly motivated to look for small departures from the standard model's predictions which might not be detected with standard approaches.
A Arrasmith, B Follin, E Anderes, L Knox
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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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Goodness of fit by Neyman-Pearson testing
SciPost PhysicsThe Neyman-Pearson strategy for hypothesis testing can be employed for goodness of fit if the alternative hypothesis is selected from data by exploring a rich parametrised family of models, while controlling the impact of statistical fluctuations.
Gaia Grosso, Marco Letizia, Maurizio Pierini, Andrea Wulzer
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Goodness of fit for the Waring distribution
Statistical Theory and Related FieldsThe Waring distribution is an important two-parameter discrete distribution, commonly used in fields such as ecology, linguistics, and information science, where heavy tails are often observed. In this paper, we propose a new goodness-of-fit test for the
Yanlin Tang +3 more
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