Estimation for coefficient of variation of an extension of the exponential distribution under type-II censoring scheme
| Autor: | Rana A. Bakoban |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Scheme (programming language)
Exponential distribution QC1-999 Coefficient of variation General Physics and Astronomy maximum likelihood estimation 02 engineering and technology 02.50.ga symbols.namesake Statistics type-ii censoring scheme Mathematics computer.programming_language Estimation Bayes estimator Physics extension exponential distribution 02.50.ng Markov chain Monte Carlo Extension (predicate logic) bootstrap confidence interval 021001 nanoscience & nanotechnology Censoring (statistics) Statistics::Computation coefficient of variation mcmc 02.50.tt symbols 0210 nano-technology computer bayesian estimation |
| Zdroj: | Open Physics, Vol 15, Iss 1, Pp 566-571 (2017) |
| ISSN: | 2391-5471 |
| Popis: | The coefficient of variation [CV] has several applications in applied statistics. So in this paper, we adopt Bayesian and non-Bayesian approaches for the estimation of CV under type-II censored data from extension exponential distribution [EED]. The point and interval estimate of the CV are obtained for each of the maximum likelihood and parametric bootstrap techniques. Also the Bayesian approach with the help of MCMC method is presented. A real data set is presented and analyzed, hence the obtained results are used to assess the obtained theoretical results. |
| Databáze: | OpenAIRE |
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