A Powerful Method of Assessing the Fit of the Lognormal Distribution

DOI10.1080/03610920701809258zbMath1318.62147OpenAlexW2157348938MaRDI QIDQ3518502

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Publication date: 8 August 2008

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920701809258

zbMATH Keywords

lognormal distributionparametric bootstrapempirical Mellin transformlife-time data

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Nonparametric statistical resampling methods (62G09)

Related Items (4)

The limit distribution of weighted \(L^2\)-goodness-of-fit statistics under fixed alternatives, with applications ⋮ Tests of fit for a lognormal distribution ⋮ The Anderson–Darling Goodness-of-Fit Test Statistic for the Three-Parameter Lognormal Distribution ⋮ Graphical representations and associated goodness-of-fit tests for Pareto and log-normal distributions based on inequality curves

Cites Work

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• Goodness-of-fit tests and model validity. Papers from the international conference, Paris, France, May 29--31, 2000
• Tests of fit for the three-parameter lognormal distribution
• Bootstrap based goodness-of-fit-tests

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