Results 101 to 110 of about 400,578 (220)
The process comparing the empirical cumulative distribution function of the sample with a parametric estimate of the cumulative distribution function is known as the empirical process with estimated parameters and has been extensively employed in the ...
Kojadinovic, Ivan, Yan, Jun
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GOODNESS-OF-FIT TESTS IN RADIATED SUSCEPTIBILITY TESTS
International audienceGoodness-of-fit (GoF) tests are commonly used to assess the degree of perfection of a reverberation chamber to fulfill the overmoded condition.
Cozza, Andrea, Monsef, Florian
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We give a new characterization of inverse Gaussian distributions using the regression of a suitable statistic based on a given random sample. A corollary of this result is a characterization of inverse Gaussian distribution based on a conditional joint ...
Khoan T. Dinh +2 more
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Uniformly Powerful Goodness of Fit Tests
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openaire +2 more sources
Goodness-of-fit tests for a heavy tailed distribution [PDF]
For testing whether a distribution function is heavy tailed, we study theKolmogorov test, Berk-Jones test, score test and their integratedversions. A comparison is conducted via Bahadur efficiency and simulations.The score test and the integrated score ...
Koning, A.J., Peng, L.
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Goodness of fit tests in terms of local levels with special emphasis on higher criticism tests
Instead of defining goodness of fit (GOF) tests in terms of their test statistics, we present an alternative method by introducing the concept of local levels, which indicate high or low local sensitivity of a test.
Finner, Helmut +2 more
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Generalized linear models are applied for data analysis in various areas. One of the most important steps in fitting the model is to check the goodness-of-fit; however, there is a lack of such tests.
Vilijandas Bagdonavičius +1 more
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A systematic approach to modeling monthly maximum temperature and total rainfall in Kenya
Goodness of fit (GOF) test approaches for selecting probability distributions of climatic variables are pervasive in the statistical literature. However, a combined approach of multiple tests remains underutilized despite evidence supporting their ...
Kevin Otieno +3 more
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Goodness-of-fit tests for the logistic location family. [PDF]
Nikitin YY, Ragozin IA.
europepmc +1 more source
Bootstrapped Tests for Epistemic Fuzzy Data
Epistemic bootstrap is a resampling algorithm that generates bootstrap real-valued samples based on some epistemic fuzzy data input. We apply this method as a universal basis for various statistical tests which can be then directly used for fuzzy random ...
Grzegorzewski Przemysław +1 more
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