International Journal of Statistics and Applied Mathematics
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2024, Vol. 9, Issue 1, Part B

Construction and selection of quality interval Bayesian RGS Plan through trigonometric ratios


Author(s): V Sangeetha and M Ravichandran

Abstract:
Bayesian Sampling Plan is that experiment or analytical study which can yield prior frequency distribution for the quality of the submitted lots and these ‘prior’ distributions can in turn be used to derive lot-by-lot sampling plans.
In this paper we have constructed a new method for designing Bayesian Repetitive Group sampling plan indexed through trigonometric ratios, hypotenuse ratios along with decision region (d1) and probabilistic region (d2) which is more applicable in practical situations. Maximum Allowable Percent Defective (MAPD) is also considered for the selection of parameters for Bayesian Repetitive Group Sampling Plan. New quality descriptors called operating ratios are introduced to design the sampling plan and related information’s are provided. Numerical Illustrations are also provided for ready made use of the tables to shop-floor situations.
Mathematical Subject Classification: 62P30/62D05.


Pages: 125-133 | Views: 198 | Downloads: 4

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International Journal of Statistics and Applied Mathematics
How to cite this article:
V Sangeetha, M Ravichandran. Construction and selection of quality interval Bayesian RGS Plan through trigonometric ratios. Int J Stat Appl Math 2024;9(1):125-133.

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