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Original Articles

A Parametric Bootstrap Approach for Testing Equality of Inverse Gaussian Means Under Heterogeneity

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Pages 1153-1160 | Received 10 Apr 2008, Accepted 18 Feb 2009, Published online: 09 Apr 2009

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Rendao Ye, Weixiao Du & Yiting Lu. (2023) Bootstrap inference for skew-normal unbalanced heteroscedastic one-way classification random effects model. Journal of Statistical Computation and Simulation 93:15, pages 2672-2702.
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Sana Eftekhar & Mahmood Kharrati-Kopaei. (2019) Testing the equality of several inverse Gaussian means under heterogeneity. Communications in Statistics - Simulation and Computation 48:9, pages 2757-2774.
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Liwen Xu & Dengkui Wang. (2017) Parametric bootstrap inferences for unbalanced panel data models. Communications in Statistics - Simulation and Computation 46:10, pages 7602-7613.
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Mahmood Kharrati-Kopaei & Sana Eftekhar. (2017) Simultaneous confidence intervals for comparing several inverse Gaussian means under heteroscedasticity. Journal of Statistical Computation and Simulation 87:4, pages 777-790.
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Liwen Xu & Lingli Yuan. (2016) A Parametric Bootstrap Solution to Two-way MANOVA without Interaction under Heteroscedasticity: Fixed and Mixed Models. Communications in Statistics - Simulation and Computation 45:8, pages 2888-2903.
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Liwen Xu, Fangqin Yang, Ranran Chen & Shenghua Yu. (2015) A Parametric Bootstrap Test for Two-Way ANOVA Model Without Interaction Under Heteroscedasticity. Communications in Statistics - Simulation and Computation 44:5, pages 1264-1272.
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Li-Wen Xu, Bo Mei, Ran-Ran Chen, Hong-Xia Guo & Jia-jie Wang. (2014) Parametric bootstrap tests for unbalanced nested designs under heteroscedasticity. Journal of Statistical Computation and Simulation 84:9, pages 2059-2070.
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Articles from other publishers (12)

Anjana Mondal & Somesh Kumar. (2024) Inference on order restricted means of inverse Gaussian populations under heteroscedasticity. Computational Statistics & Data Analysis 194, pages 107943.
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Mustafa ÇAVUŞ & Berna YAZICI. (2023) Comparison of the several two-parameter exponential distributed group means in the presence of outliers. Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics 72:3, pages 686-700.
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Gamze GUVEN. (2022) Testing the equality of treatment means in one-way ANOVA: Short-tailed symmetric error terms with heterogeneous variances. Hacettepe Journal of Mathematics and Statistics 51:6, pages 1736-1751.
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鸽 乔. (2019) Comparison of several inverse Gaussian populations under heterogeneity. Advances in Applied Mathematics 08:12, pages 2029-2034.
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Liwen Xu & Maozai Tian. Tests for ANOVA models with a combination of crossed and nested designs under heteroscedasticity. Tests for ANOVA models with a combination of crossed and nested designs under heteroscedasticity.
Sang Gil Kang, Dal Ho Kim & Woo Dong Lee. (2015) Default Bayesian testing equality of scale parameters in several inverse Gaussian distributions. Journal of the Korean Data and Information Science Society 26:3, pages 739-748.
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A. Malekzadeh, M. Kharrati-Kopaei & S. M. Sadooghi-Alvandi. (2014) Comparing exponential location parameters with several controls under heteroscedasticity. Computational Statistics 29:5, pages 1083-1094.
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Cuizhen Niu, Xu Guo, Wangli Xu & Lixing Zhu. (2013) Testing equality of shape parameters in several inverse Gaussian populations. Metrika 77:6, pages 795-809.
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S.M. Sadooghi-Alvandi & A. Malekzadeh. (2014) Simultaneous confidence intervals for ratios of means of several lognormal distributions: A parametric bootstrap approach. Computational Statistics & Data Analysis 69, pages 133-140.
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Soltan Mohammad Sadooghi-Alvandi & Ahad Malekzadeh. (2013) A note on testing homogeneity of the scale parameters of several inverse Gaussian distributions. Statistics & Probability Letters 83:8, pages 1844-1848.
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Li-Wen Xu, Fang-Qin Yang, Aji’erguli Abula & Shuang Qin. (2013) A parametric bootstrap approach for two-way ANOVA in presence of possible interactions with unequal variances. Journal of Multivariate Analysis 115, pages 172-180.
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Xinmin Li, Juan Wang & Hua Liang. (2011) Comparison of several means: A fiducial based approach. Computational Statistics & Data Analysis 55:5, pages 1993-2002.
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