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Sayed Jamal Mirkamali

Sayed Jamal Mirkamali

Academic rank: Assistant Professor
ORCID: https://orcid.org/0000-0001-7513-4423
Education: PhD.
ScopusId: 35739053200
Faculty: Science
Address: Arak University
Phone:

Research

Title
Improved attribute acceptance sampling plans based on maxima nomination sampling
Type
JournalPaper
Keywords
Acceptance sampling, Attributes, Maxima nomination sampling, OC curve, Proportion estimation, Ranked set sampling
Year
2010
Journal Journal of Statistical Planning and Inference
DOI
Researchers Sayed Jamal Mirkamali ، Mohammad Jafari Jozani

Abstract

This paper demonstrates the use of maxima nomination sampling (MNS) technique in design and evaluation of single AQL, LTPD, and EQL acceptance sampling plans for attributes. We exploit the effect of sample size and acceptance number on the performance of our proposed MNS plans using operating characteristic (OC) curve. Among other results, we show that MNS acceptance sampling plans with smaller sample size and bigger acceptance number perform better than commonly used acceptance sampling plans for attributes based on simple random sampling (SRS) technique. Indeed, MNS acceptance sampling plans result in OC curves which, compared to their SRS counterparts, are much closer to the ideal OC curve. A computer program is designed which can be used to specify the optimum MNS acceptance sampling plan and to show, visually, how the shape of the OC curve changes when parameters of the acceptance sampling plan vary. Theoretical results and numerical evaluations are given.