Results 11 to 20 of about 166,159,676 (294)
Distribution free goodness-of-fit tests for linear processes [PDF]
, 2004 This article proposes a class of goodness-of-fit tests for the autocorrelation function of a time series process, including those exhibiting long-range dependence.
Velasco Gómez, Carlos +8 more
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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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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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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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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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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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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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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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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 tests for weibull populations on the basis of records [PDF]
Journal of Statistical Theory and Applications (JSTA), 2015 Record is used to reduce the time and cost of running experiments (Doostparast and Balakrishnan, 2010). It is important to check the adequacy of models upon which inferences or actions are based (Lawless, 2003, Chapter 10, p. 465).
Mahdi Doostparast
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