Abstract
We suggest a ranked set sample method to improve Bayesian prediction intervals. The paper deals with the Bayesian prediction intervals in the context of an ordered ranked set sample from a certain class of exponential-type distributions. A proper general prior density function is used and the predictive cumulative function is obtained in the two-sample case. The special case of linear exponential distributed observations is considered and completed with numerical results.
The author appreciates the comments of the referees and the editor which improved the first draft of this manuscript.
References
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© 2016 by De Gruyter
Artikel in diesem Heft
- Frontmatter
- Checking Default Correlation and Score Correlation in a Breakpoint Model for Rating Classification
- An ARL-Unbiased np-Chart
- Design of Optimal Reliability Acceptance Sampling Plans for Exponential Distribution
- New Acceptance Sampling Plans Based on Percentiles for Exponentiated Fréchet Distribution
- Bayesian Prediction Bounds for the Exponential-Type Distribution Based on Ordered Ranked Set Sampling
- Solving a Functional Equation and Characterizing Distributions by Quantile Past Lifetime Functions
Artikel in diesem Heft
- Frontmatter
- Checking Default Correlation and Score Correlation in a Breakpoint Model for Rating Classification
- An ARL-Unbiased np-Chart
- Design of Optimal Reliability Acceptance Sampling Plans for Exponential Distribution
- New Acceptance Sampling Plans Based on Percentiles for Exponentiated Fréchet Distribution
- Bayesian Prediction Bounds for the Exponential-Type Distribution Based on Ordered Ranked Set Sampling
- Solving a Functional Equation and Characterizing Distributions by Quantile Past Lifetime Functions