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Statistical Power of Goodness-of-Fit Tests for Type~I Left-Censored Data
Type I doubly left-censored data often arise in environmental studies. In this paper, the power of the most frequently used goodness-of-fit tests (Kolmogorov-Smirnov, Cramér-von Mises, Anderson-Darling) is studied considering various sample sizes and ...
Michal Fusek
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Goodness-of-fit tests for copulas [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Goodness of Fit Tests and Power Comparisons for Weighted Gamma Distribution
In this paper, a weighted version of Gamma distribution known as Weighted Gamma (WG) distribution has been considered. Various tests of goodness of fit viz Kolmogorov–Smirnov, Cram´er–von Mises and Anderson–Darling have been applied to this family ...
Neetu Singla +2 more
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Goodness-of-fit tests for correlated data [PDF]
Biometrika, 62 (3)
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A Novel Goodness-of-Fit Test for Cauchy Distribution
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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Composite Goodness-of-fit Tests with Kernels
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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New Goodness-of-Fit Tests for the Kumaraswamy Distribution
The two-parameter distribution known as the Kumaraswamy distribution is a very flexible alternative to the beta distribution with the same (0,1) support.
David E. Giles
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Conditional limit laws for goodness-of-fit tests
We study the conditional distribution of goodness of fit statistics of the Cram\'{e}r--von Mises type given the complete sufficient statistics in testing for exponential family models.
Lockhart, Richard A.
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An Exhaustive Power Comparison of Normality Tests
A goodness-of-fit test is a frequently used modern statistics tool. However, it is still unclear what the most reliable approach is to check assumptions about data set normality. A particular data set (especially with a small number of observations) only
Jurgita Arnastauskaitė +2 more
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Tailor-made tests for goodness of fit to semiparametric hypotheses [PDF]
We introduce a new framework for constructing tests of general semiparametric hypotheses which have nontrivial power on the $n^{-1/2}$ scale in every direction, and can be tailored to put substantial power on alternatives of importance.
Bickel, Peter J. +2 more
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