- 期刊
On Estimation of the Frechet Distribution with Known Shape under Different Sample Schemes
並列摘要
This paper seeks to focus on the Bayesian estimation of scale parameter for Frechet distribution with known shape. Bayes estimators have been obtained for scale parameter for Frechet when sample is available from complete, Time (type I) and Failure (type II) censoring scheme. The results of different censoring schemes have been compared with those under complete samples. Bayes estimators have been developed under squared error loss function as well as under precautionary loss function using non-informative (uniform and Jeffreys) priors for the parameter. The performance of Bayes estimators has been compared under a Monte Carlo simulation study.
延伸閱讀
- Deng, W. S., & Huang, T. H. (2008). A Semiparametric Approach to the Estimation of the Stochastic Frontier Model with Time-Variant Technical Efficiency. 經濟論文, 36(2), 167-193. https://doi.org/10.29628/AEP.200806.0003
- Bakosi, J., & Ristorcelli, J. R. (2013). A Stochastic Diffusion Process for the Dirichlet Distribution. International Journal of Stochastic Analysis, 2013(), 166-172. https://doi.org/10.1155/2013/842981
- 柯尊仁（2018）。Interval Estimation on Conformance Proportion by using Distribution-wise Comparison〔碩士論文，逢甲大學〕。華藝線上圖書館。https://doi.org/10.6341/fcu.M0502656
- Sigari, M. H., Pourshahabi, M. R., & Pourreza, H. R. (2014). A New Evolutionary-Incremental Framework for Feature Selection. Advances in Artificial Intelligence, 2014(), d1-12. https://doi.org/10.1155/2014/679847
- Chang, P. M. (2014). Robustness Examination for The Survival Function Estimation under A Dependent Truncation [master's thesis, National Chung Cheng University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0033-2110201614004578