The Biased Transformation and Its Application in Goodness-of-Fit Tests for the Beta and Gamma Distribution

DOI10.1080/03610910903152631zbMath1182.62104OpenAlexW1969306233MaRDI QIDQ3652731

Mathias Raschke

Publication date: 16 December 2009

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910903152631

zbMATH Keywords

transformationgamma distributiongoodness-of-fit testbeta distribution

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items (6)

Testing exponentiality based on characterizations of the exponential distribution ⋮ Tests of goodness of fit based on Phi-divergence ⋮ Goodness-of-Fit Tests Based on Correcting Moments of Entropy Estimators ⋮ General treatment of goodness-of-fit tests based on Kullback–Leibler information ⋮ Monte Carlo comparison of seven normality tests ⋮ A NEW GOODNESS OF FIT TEST FOR THE BETA DISTRIBUTION BASED ON THE EMPIRICAL LAPLACE TRANSFORM

Cites Work

• Asymptotic results for goodness-of-fit statistics with unknown parameters
• Small Sample Distributions for Multi-Sample Statistics of the Smirnov Type
• Goodness-of-fit tests on a circle
• Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
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