- 期刊
- OpenAccess
THE POISSON BURR X INVERSE RAYLEIGH DISTRIBUTION AND ITS APPLICATIONS
摘要
A new flexible extension of the inverse Rayleigh model is proposed and studied. Some of its fundamental statistical properties are derived. We assessed the performance of the maximum likelihood method via a simulation study. The importance of the new model is shown via three applications to real data sets. The new model is much better than other important competitive models.
延伸閱讀
- 莊于億（2011）。Sum of two binomial approximation to poisson binomial distribution〔碩士論文，國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2011.00173
- Hamed, M. S. (2020). Extended Poisson-Fréchet Distribution: Mathematical Properties and Applications to Survival and Repair Times. Journal of Data Science, 18(2), 319-342. https://doi.org/10.6339/JDS.202004_18(2).0006
- Chan, C. T. (2022). On the Convolution Property of the Poisson Kernels. 東海科學, 23(), 1-18. https://www.airitilibrary.com/Article/Detail?DocID=10238719-202207-202208170003-202208170003-1-18
- Fatima, K., Jan, U., & Ahmad, S. P. (2018). Statistical Properties of Rayleigh Lomax distribution with applications in Survival Analysis. Journal of Data Science, 16(3), 531-548. https://doi.org/10.6339/JDS.201807_16(3).0005
- Lin, Y. H., & Zen, M. M. (2007). Bayesian Analysis of a change-point Poisson Process. 致遠管理學院學報, (2_2), 1-15. https://doi.org/10.6595/BDCM.2007.2(2).1