New Acceptance Sampling Plans Based on Percentiles for Exponentiated Fréchet Distribution
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Gadde Srinivasa Rao
, Kanaparthi Rosaiah
, Mothukuri Sridhar Babu und Devireddy Charanaudaya Sivakumar
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
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