Predictive analysis for joint progressive censoring plans: a Bayesian approach
From MaRDI portal
Publication:5861260
DOI10.1080/02664763.2020.1815671OpenAlexW3084284084MaRDI QIDQ5861260
Mohammad Vali Ahmadi, Mahdi Doostparast
Publication date: 4 March 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2020.1815671
exponential distributionBayesian predictionsquared error loss functionhighest posterior density predictionjoint progressive censoring
Parametric tolerance and confidence regions (62F25) Censored data models (62N01) Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Applications of statistics (62Pxx)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Expected values of the number of failures for two populations under joint type-II progressive censoring
- Exact likelihood inference for two exponential populations under joint type-II censoring
- Statistical decision theory and Bayesian analysis. 2nd ed
- Conditional Maximum Likelihood and Interval Estimation for Two Weibull Populations under Joint Type-II Progressive Censoring
- Exact Likelihood Inference for Two Exponential Populations Under Joint Progressive Type-II Censoring
- On Testing Equality of Two Exponential Distributions under Combined Type II Censoring
- Exact likelihood inference for two populations from two-parameter exponential distributions under joint Type-II censoring
- Statistical inference for two exponential populations under joint progressive type-I censored scheme
- Bayesian inference based on a jointly type-II censored sample from two exponential populations
- Exact likelihood inference for two exponential populations based on a joint generalized Type-I hybrid censored sample
- Exact Likelihood Inference forkExponential Populations Under Joint Type-II Censoring
- Exact Likelihood Inference forkExponential Populations Under Joint Progressive Type-II Censoring
- Bayes Estimation Based on Joint Progressive Type II Censored Data Under LINEX Loss Function
- Locally Most Powerful Rank Tests for the Two-sample Problem with Censored Data