Abstract
In this article, acceptance sampling plans are developed for the exponentiated Fréchet distribution based on percentiles when the life test is truncated at a pre-specified time. The minimum sample size necessary to ensure the specified life percentile is obtained under a given customer's risk and producer's risk simultaneously. The operating characteristic values of the sampling plans are presented. One example with real data set is also given as an illustration.
References
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© 2016 by De Gruyter
Articles in the same Issue
- 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
Articles in the same Issue
- 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