Dergiler / Hacettepe Journal of Mathematics and Statistics / 2026 / Volume: 42 Issue: 5

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

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Yayın Tarihi
2013-05-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

We compare it withsome of the existing tests; the parametric bootstrap and the generalizedtest variables in terms of type I risks and powers by using Monte Carlosimulation.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this article, a testing procedure based on computational approachtest is proposed for the equality of several inverse Gaussian means underheterogeneity.
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Temel Bulgular & Veri:Not requiring the knowledge of any sampling distribution, depending heavily on numerical computations and Monte Carlosimulation, moreover, figuring out the critical region automatically arethe advantages of the computational approach test.
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Sonuç & Katkı:We compare it withsome of the existing tests; the parametric bootstrap and the generalizedtest variables in terms of type I risks and powers by using Monte Carlosimulation.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Computational approach test · Generalized test variables · Hypothesis testing

Abstract

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

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Bu Makaleye Atıf Yap

Gökpınar, E. Y., Polat, E., Gokpınar, F., Günay, S. (2013). A NEW COMPUTATIONAL APPROACH FOR TESTING EQUALITY OF INVERSE GAUSSIAN MEANS UNDER HETEROGENEITY. Hacettepe Journal of Mathematics and Statistics, Volume: 42 Issue: 5. https://ajindex.com/articles/1403454

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Kaynakça (11)

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  3. Chang, C. H., Pal, N., Lim, W. K., Lin, J. J. A note on comparing several poisson means, Communications in Statistics-Simulation and Computation 39, 1605-1627, 2010c.
  4. Chhikara, R. S., Folks, J. L. The inverse gaussian distribution and its statistical application: a review, J. R. Statistic Soc. B, 1978.
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  8. Pal, N., Lim, W. K., Ling, C. H. A computational approach to statistical inferences, Journal of Applied Probability & Statistics 2, 13-35, 2007.
  9. Seshadri, V. (1993), The Inverse Gaussian Distribution: A Case Study in Exponential Families, Clarendon Press, City Oxford.
  10. Seshadri, V. (1999), The Inverse Gaussian Distribution: Statistical Theory and Applications, Springer, State New York.
  11. Tian, L. Testing Equality of Inverse Gaussian Means Under Heterogeneity Based on Generalized Test Variable, Computational Statistics & Data Analysis 51, 1156-1162, 2006.