Article2019

Bayesian Group Chain Sampling Plan Based on Beta Binomial Distribution Through Quality Region

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Advanced Statistical Process Monitoring Probability and Statistical Research Statistical Distribution Estimation and Applications

Abstract

In this article, we introduced Bayesian Group Chain Sampling Plan (BGChSP) using different combination of parameters. In acceptance sampling plan, the random fluctuations can be describe in the selection of distribution Bayesian approach which is based on prior process history. We apply beta distribution as a suitable prior distribution. By considering consumer’s and producer’s risks, we consider Probabilistic and Indifference Quality Regions for the specified AQL and LQL. For the selection of parameters in BGChSP, Maximum Allowable Percent Defectives (MAPD) is also considered.

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References

1977Chain Sampling Inspection Plan 2009Group Acceptance Sampling Plans for Pareto Distribution of the Second Kind 2015Time Truncated Group Chain Sampling Strategy for Pareto Distribution of the 2nd Kind 2018A family of group chain acceptance sampling plans based on truncated life test 2013An Economic Reliability Efficient Group Acceptance Sampling Plans for Family Pareto Distributions

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