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Parameter Estimation of Type-II Hybrid Censored Weighted Exponential Distribution
| Content Provider | Scilit |
|---|---|
| Author | Kohansal, A. Rezakhah, S. Khorram, E. |
| Copyright Year | 2014 |
| Description | A hybrid censoring scheme is a mixture of Type-I and Type-II censoring schemes. We study the estimation of parameters of weighted exponential distribution based on Type-II hybrid censored data. By applying the EM algorithm, maximum likelihood estimators are evaluated. Using Fisher information matrix, asymptotic confidence intervals are provided. By applying Markov chain Monte Carlo techniques, Bayes estimators, and corresponding highest posterior density confidence intervals of parameters are obtained. Monte Carlo simulations are performed to compare the performances of the different methods, and one dataset is analyzed for illustrative purposes. |
| Related Links | http://arxiv.org/pdf/1203.0094 |
| Ending Page | 1299 |
| Page Count | 27 |
| Starting Page | 1273 |
| ISSN | 03610918 |
| e-ISSN | 15324141 |
| DOI | 10.1080/03610918.2013.794285 |
| Journal | Communications in Statistics - Simulation and Computation |
| Issue Number | 5 |
| Volume Number | 44 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2014-10-23 |
| Access Restriction | Open |
| Subject Keyword | Journal: Communications in Statistics - Simulation and Computation Statistics and Probability Asymptotic Distribution Bayes Estimators Em Algorithm Hybrid Censoring Markov Chain Monte Carlo Maximum Likelihood Estimators Type Ii Censoring Type-i Censoring 62f10 62f15 62n02 |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Modeling and Simulation |
