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Goodness-of-Fit Tests

2011
Goodness-of-fit tests are batteries of tests that test that the distribution of a sample is equal to some fixed-in-advance distribution. We already saw Q–Q plots in Chap. 5 where the samples were compared to some theoretical distributions but in a descriptive fashion, without formal inference.
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Goodness-of-Fit Tests

2018
Based on the substitution principle, we derive one-sample goodness-of-fit tests of Kolmogorov-Smirnov and Cramer-von Mises type, respectively. In the case of a completely specified null hypothesis, these tests are distribution-free, if the cumulative distribution function under the null is a continuous function. In the case of composite null hypotheses,
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Goodness-of-fit tests

2023
N. Balakrishnan   +2 more
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Goodness of Fit and Related Inference Processes for Quantile Regression

Journal of the American Statistical Association, 1999
Roger Koenker
exaly   +2 more sources

Goodness-of-fit indices for partial least squares path modeling

Computational Statistics, 2012
Jörg Henseler   +2 more
exaly  

Standardizing the power of the Hosmer–Lemeshow goodness of fit test in large data sets

Statistics in Medicine, 2013
Prabasaj Paul   +2 more
exaly  

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