Approximation of distributions by using the Anderson Darling statistic
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Publication:2832665
DOI10.1080/03610926.2014.966844zbMath1349.62039OpenAlexW2512935096MaRDI QIDQ2832665
Publication date: 11 November 2016
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2014.966844
Linear regression; mixed models (62J05) Approximations to statistical distributions (nonasymptotic) (62E17)
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Cites Work
- Strong convergence of estimators as \(\varepsilon_n\)-minimisers of optimisation problems
- Epi-convergence of sequences of normal integrands and strong consistency of the maximum likelihood estimator
- Goodness-of-fit tests via phi-divergences
- Approximation Theorems of Mathematical Statistics
- On minimum cramer-von mises-norm parameter estimation
- Minimum anderson-darling estimation
- Nonparametric Validation of Similar Distributions and Assessment of Goodness of Fit
- Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
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