Goodness of Fit Tests for Rayleigh Distribution Based on Phi-Divergence
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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de Colombia
2017
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| author | Ehsan Zamanzade |
| author_facet | Ehsan Zamanzade |
| contents | Goodness of Fit Tests for Rayleigh Distribution Based on Phi-Divergence Ehsan Zamanzade M. Mahdizadeh Física, Astronomía y Matemáticas Phi divegence Goodness of fit test Rayleigh distribution Monte Carlo simulation In this paper, we develop some goodness of fit tests for Rayleigh distribution based on Phi-divergence. Using Monte Carlo simulation, we compare the power of the proposed tests with some traditional goodness of fiut tests including Kolmogorov-Smirnov, Anderson-Darling and Cramer von-Mises tests. The results indicate that the proposed tests perform well as compared with their competing tests in the literature. Finally, the new procedures are illustrated via two real data sets. 2017 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89951836005 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.2 Vol.40 |
| format | Artículo científico |
| id | redalyc_89951836005 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Goodness of Fit Tests for Rayleigh Distribution Based on Phi-Divergence Ehsan Zamanzade Física, Astronomía y Matemáticas Phi divegence Goodness of fit test Rayleigh distribution Monte Carlo simulation Goodness of Fit Tests for Rayleigh Distribution Based on Phi-Divergence Ehsan Zamanzade M. Mahdizadeh Física, Astronomía y Matemáticas Phi divegence Goodness of fit test Rayleigh distribution Monte Carlo simulation In this paper, we develop some goodness of fit tests for Rayleigh distribution based on Phi-divergence. Using Monte Carlo simulation, we compare the power of the proposed tests with some traditional goodness of fiut tests including Kolmogorov-Smirnov, Anderson-Darling and Cramer von-Mises tests. The results indicate that the proposed tests perform well as compared with their competing tests in the literature. Finally, the new procedures are illustrated via two real data sets. 2017 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89951836005 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.2 Vol.40 |
| title | Goodness of Fit Tests for Rayleigh Distribution Based on Phi-Divergence |
| topic | Física, Astronomía y Matemáticas Phi divegence Goodness of fit test Rayleigh distribution Monte Carlo simulation |
| url | https://www.redalyc.org/articulo.oa?id=89951836005 |