Design of multiple-deferred state sampling plans for exponentiated half logistic distribution
G. Srinivasa Rao, K. Rosaiah, Ch. Ramesh Naidu
Abstract
This paper aims to develop a multiple deferred state sampling plan for a time-truncated life test if the lifetime of the item follows exponentiated half logistic distribution. The optimal parameters of the proposed plan, such as the number of successive lots required for making the decision whether to accept or reject the current lot, sample size, the rejection and acceptance numbers are obtained using two points approach. The implementation of the proposed plan is illustrated with examples. Tables are constructed for various combinations of consumer’s and producer’s risks. Comparison is also made with existing sampling plans under exponentiated half logistic distribution.
Topics & Concepts
Acceptance samplingPlan (archaeology)Log-logistic distributionLogistic distributionSampling (signal processing)StatisticsSample (material)MathematicsDistribution (mathematics)Logistic regressionState (computer science)Computer scienceSample size determinationProbability distributionAlgorithmDistribution fittingHistoryChromatographyComputer visionFilter (signal processing)Mathematical analysisChemistryArchaeologyStatistical Distribution Estimation and ApplicationsAdvanced Statistical Process MonitoringReliability and Maintenance Optimization