A NEW COMPUTATIONAL APPROACH FOR TESTING EQUALITY OF INVERSE GAUSSIAN MEANS UNDER HETEROGENEITY

作者：Gokpinar Esra Yigit^*; Polat Esra; Gokpinar Fikri; Gunay Suleyman

来源：Hacettepe Journal of Mathematics and Statistics, 2013, 42(5): 581-590.

• Computational approach test
• Generalized test variables
• Hypothesis testing
• Inverse gaussian distribution
• Maximum likelihood estimate
• Parametric bootstrap

In this article, a testing procedure based on computational approach test is proposed for the equality of several inverse Gaussian means under heterogeneity. Not requiring the knowledge of any sampling distribution, depending heavily on numerical computations and Monte Carlo simulation, moreover, figuring out the critical region automatically are the advantages of the computational approach test. We compare it with some of the existing tests; the parametric bootstrap and the generalized test variables in terms of type I risks and powers by using Monte Carlo simulation.

• 出版日期2013-10