Testing the equality of several gamma means: a parametric bootstrap method with applications

DOI10.1007/s00180-010-0209-1zbMath1304.65021OpenAlexW2088100715MaRDI QIDQ114744

Jyh-Jiuan Lin, Ching-Hui Chang, Nabendu Pal, Ching-Hui Chang, Nabendu Pal, Jyh-Jiuan Lin

Publication date: 5 August 2010

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-010-0209-1

zbMATH Keywords

sizepower functionparametric bootstraphypotheses

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

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Uses Software

• bootlib

Cites Work

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• Bootstrap hypothesis testing for some common statistical problems: a critical evaluation of size and power properties
• Statistical tests involving several independent gamma distributions
• A Two-Sample Test of Equal Gamma Distribution Scale Parameters with Unknown Common Shape Parameter
• Aids for Fitting the Gamma Distribution by Maximum Likelihood
• Test of Equal Gamma-Distribution Means with Unknown and Unequal Shape Parameters
• An Analysis of Some Properties of Alternative Measures of Income Inequality Based on the Gamma Distribution Function
• Inferences Concerning the Mean of the Gamma Distribution