Suganya, S (2023) SELECTION PROCEDURE FOR SKIP LOT SAMPLING PLAN OF TYPE SKSP-R BASED ON PERCENTILES OF EXPONENTIATED RAYLEIGH DISTRIBUTION. SELECTION PROCEDURE FOR SKIP LOT SAMPLING PLAN OF TYPE SKSP-R BASED ON PERCENTILES OF EXPONENTIATED RAYLEIGH DISTRIBUTION, 18 (1(72)). pp. 432-439.

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Abstract

In this study, acceptance sampling techniques are effective for reducing the cost and time of the
submitted lots. In this hectic environment, a high level of product reliability and quality
assurance is expected. Use the abbreviated life tests in the acceptance sampling plan as a result.
To make a choice on the product, sampling plans with time-truncated life tests are used. This
study uses percentiles under the exponentiated Rayleigh distribution to build a skip lot
sampling plan of the SkSP-R type for a life test. A truncated life test may be carried out to
determine the minimum sample size to guarantee a specific percentage life time of products. In
particular, this paper highlights the construction of the Skip lot Sampling Plan of the type
SkSP-R by considering the Singe Sampling Plan (SSP) and Double Sampling plan(DSP) as
reference plans for life tests based on percentiles of Exponentiated Rayleigh Distribution
(ERD). Calculations are made for various quality levels to determine the minimum sample size,
prescribed ratio, and operational characteristic values. The proposed sampling plan, which is
appropriate for the manufacturing industries for the selection of samples, is also analyzed in
terms of its parameters and metrics. Illustrations are provided to help you comprehend the plan.
In addition, it addresses the feasibility of the new strategy.

Item Type: Article
Uncontrolled Keywords: Exponentiated Rayleigh Distribution, Percentiles, Life tests, Single Sampling Plan, SkSP –R.
Divisions: PSG College of Arts and Science > Department of Statistics
Depositing User: Dr. B Sivakumar
Date Deposited: 01 Nov 2025 06:12
Last Modified: 01 Nov 2025 06:12
URI: https://ir.psgcas.ac.in/id/eprint/2496

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