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Selection of Bayesian skip lot sampling plan-3 with conditional repetitive group sampling plan using Trignometric Ratio Method
International Journal of Statistics and Applied Mathematics · 2020 · Vol. 5(4) · pp. 196–200
Abstract
Acceptance sampling plans on the basis of Bayesian methodology can be taken when the innovator has prior knowledge on the process fluctuation to take a opinion about the disposition of the lot. Bayesian sampling plan has a clear picture on the influences associated with the selection of appropriate prior distribution. This paper describes new method for Bayesian Skip Lot Sampling Plan-3 with Conditional Repetitive Group Sampling Plan using Trigonometric Ratio Methods. Tables and numerical examples are also provided.
Advanced Statistical Process MonitoringManufacturing Process and OptimizationSampling (signal processing)Selection (genetic algorithm)Bayesian probabilityComputer sciencePlan (archaeology)Acceptance samplingStatisticsMachine learningArtificial intelligenceData mining
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