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Designing of Chain Sampling Plan underGamma-Poisson Distribution
Author(s) -
P. Jeyadurga,
S. Balamurali
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1196.1291s419
Subject(s) - plan (archaeology) , sampling (signal processing) , poisson distribution , computer science , dispose pattern , statistics , mathematics , geography , archaeology , filter (signal processing) , computer vision , programming language
In this manuscript, we discuss the designing procedure of chain sampling plan which is known as one of the conditional sampling plans under gamma-Poisson distribution. We determine the optimal parameters namely, number of items to be chosen for inspection from the lot and number of preceding lots to be considered in order to dispose the current lot by specifying two points on the operating characteristic curve, which is the usual designing approach of sampling plan. The procedure which is used to execute the proposed plan is provided and comparison is made among the proposed plan and existing sampling plans performance.

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