Results 11 to 20 of about 755,302 (276)
Asymptotic Pitman's Relative Efficiency
Statistica, 2017 Pitman efficiency is the oldest known efficiency. Most of the known results for computing the Pitman efficiency take the form of bounds. Based on some recent developments due to the authors and some calculus of variations, we develop tools for ...
Christopher S. Withers +1 more
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Goodness of fit for stochastic actor-oriented models
Methodological 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
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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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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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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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Random coefficient regressions: parametric goodness of fit tests [PDF]
, 1995 Random coefficient regression models have been applied in different fields during recent years and they are a unifying frame for many statistical models.
Delicado, Pedro, Romo, Juan
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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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Testing goodness-of-fit of random graph models [PDF]
, 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
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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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