Simultaneous confidence intervals for comparing several inverse Gaussian means under heteroscedasticity

DOI10.1080/00949655.2016.1225742OpenAlexW2519674251MaRDI QIDQ5106819

Mahmood Kharrati-Kopaei, Sana Eftekhar

Publication date: 22 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2016.1225742

zbMATH Keywords

simulationheteroscedasticitycoverage probabilityconservativefiducial generalized pivotal

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (5)

Hypothesis testing for the inverse Gaussian distribution mean based on ranked set sampling ⋮ Simultaneous confidence intervals for the quantile differences of several two-parameter exponential distributions under the progressive type II censoring scheme ⋮ Testing the equality of several inverse Gaussian means under heterogeneity ⋮ Bootstrap approaches for homogeneous test of location parameters under skew-normal settings ⋮ Unnamed Item

Cites Work

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• A note on testing homogeneity of the scale parameters of several inverse Gaussian distributions
• Testing the homogeneity of inverse Gaussian scale-like parameters
• A new generalized \(p\)-value for testing equality of inverse Gaussian means under heterogeneity
• One-stage multiple comparisons with the control for exponential location parameters under heteroscedasticity
• Testing equality of inverse Gaussian means under heterogeneity, based on generalized test variable
• The inverse Gaussian distribution. Statistical theory and applications
• Simultaneous confidence intervals for several inverse Gaussian populations
• Comparing exponential location parameters with several controls under heteroscedasticity
• Multiple Comparisons with More than One Control for Exponential Location Parameters Under Heteroscedasticity
• Two-way analysis of reciprocals
• Statistical Properties of Inverse Gaussian Distributions. I
• Analysis of Two-Factor Experiments Under an Inverse Gaussian Model
• A Parametric Bootstrap Approach for Testing Equality of Inverse Gaussian Means Under Heterogeneity
• An improved two-stage selection procedure
• Models for Variable-Stress Accelerated Life Testing Experiments Based on Wiener Processes and the Inverse Gaussian Distribution

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