Results 11 to 20 of about 102,684 (297)
Goodness of fit tests for Rayleigh distribution based on Phi-divergence [PDF]
Revista Colombiana de Estadística, 2017 In this paper, we develop some goodness of fit tests for Rayleigh distribution based on Phi-divergence. Using Monte Carlo simulation, we compare the power of the proposed tests with some traditional goodness of fit tests including Kolmogorov-Smirnov ...
Mahdi Mahdizadeh , Ehsan Zamanzade
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Goodness-of-fit tests for sparse nominal data based on grouping
Nonlinear Analysis, 2012 . For (very) sparse nominal data, common goodness-of-fit tests usually fail. Alternative goodness-of-fit tests based on extended empirical Bayes approach and grouping are proposed and their consistency is proved.
Marijus Radavičius, Pavel Samusenko
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On Goodness-of-Fit Tests for the Neyman Type A Distribution
Revstat Statistical Journal, 2023 The two-parameter Neyman type A distribution is quite useful for modeling count data, since it corresponds to a simple, flexible and overdispersed discrete distribution, which is also zero[1]inflated.
Apostolos Batsidis, Artur J. Lemonte
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KSD Aggregated Goodness-Of-Fit Test
Advances in Neural Information Processing Systems 35, 2022 We investigate properties of goodness-of-fit tests based on the Kernel Stein Discrepancy (KSD). We introduce a strategy to construct a test, called KSDAgg, which aggregates multiple tests with different kernels. KSDAgg avoids splitting the data to perform kernel selection (which leads to a loss in test power), and rather maximises the test power over a
Schrab, Antonin +2 more
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Goodness-of-fit tests for neural population models: the multivariate time-rescaling theorem [PDF]
BMC Neuroscience, 2010 Haslinger Robert +2 more
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On the Goodness of Fit Tests for the Burr Failure Model. [PDF]
The Egyptian Statistical Journal, 1997 The Burr type XII distribution yields a wide range of values of skewness and kortosis and it can be fitted to almost any given set of data arising from a unimodel distribution, so special attention has been focused on it.
Abd-Allah Abd-Elfattah
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An Extensive Comparisons of 50 Univariate Goodness-of-fit Tests for Normality
Austrian Journal of Statistics, 2022 The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. Given the importance of this subject and the widespread development of normality tests, comprehensive ...
Stanislaus S. Uyanto
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Composite Goodness-of-fit Tests with Kernels
J. Mach. Learn. Res., 2021 Model misspecification can create significant challenges for the implementation of probabilistic models, and this has led to development of a range of robust methods which directly account for this issue. However, whether these more involved methods are required will depend on whether the model is really misspecified, and there is a lack of generally ...
Oscar Key +3 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 Tests in Nonparametric Regression [PDF]
SSRN Electronic Journal, 2006 AMS classifications: 62G08, 62G10, 62G20, 62G30; 60F17.
Einmahl, J.H.J., Keilegom, I. van
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