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Research Paper | Statistics | Nigeria | Volume 8 Issue 12, December 2019 | Popularity: 6.2 / 10
The Exponentiated-Epsilon Distribution: its Properties and Applications
Gongsin Isaac Esbond, Saporu W. O. Funmilayo
Abstract: A new lifetime distribution, called the Exponentiated-epsilon distribution, is generated. It is based on the Exponentiated-G family of distributions. It has a flexible density function that is skewed depicting its ability to model data generating processes with varying complexities. It has bathtub-shaped and J-shaped hazard rate function within its parameter space. It is applied to two differentreal-life datasets and provided good fit. Consequently, it holds a good potential for modeling real-life data generation processes.
Keywords: epsilon distribution, exponentiated-G family of distributions, fatigue life data, fracture toughness data, hazard rate function, order statistics
Edition: Volume 8 Issue 12, December 2019
Pages: 1024 - 1028
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Statistics, Nepal, Volume 3 Issue 6, June 2014
Pages: 161 - 166Accelerated Failure Time Models: An Application in the Survival of Acute Liver Failure Patients in India
Shankar Prasad Khanal, V. Sreenivas, Subrat K. Acharya
Downloads: 249 | Views: 539
Statistics, India, Volume 8 Issue 5, May 2019
Pages: 35 - 39The Implementation of Total Quality Management (TQM) as a Function of Improving Quality in Educational Institutions
Rallabandi Srinivasu, G.V.S.R. Anjaneyulu
Downloads: 234 | Views: 450
Statistics, Kenya, Volume 8 Issue 5, May 2019
Pages: 66 - 69Survival Analysis of Cancer Patients Using Weibull Parametric Model
Wilson Kiprotich Chepkech, Joel Cheruiyot Chelule, Ayubu Anapapa, Herbert Imboga
Downloads: 206 | Views: 376
Statistics, India, Volume 9 Issue 3, March 2020
Pages: 1201 - 1204Customer Relationship Management (CRM) Viewed by and Analysed by Probability Distribution
Kamlesh L Patel, Dr. Sanjay G Raval, Dr. S R Patel
Downloads: 199 | Views: 403
Statistics, Congo, Volume 8 Issue 4, April 2019
Pages: 85 - 95Modeling Tax Revenues Using Kernel Approach Case Study: North Kivu Province (Democratic Republic of Congo) Tax Revenues Time Series Forecasting
Byamungu Wanguwabo David