Record Details

Determination of Optimal Double Sampling Plan using Genetic Algorithm

Pakistan Journal of Statistics and Operation Research

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Field Value
 
Title Determination of Optimal Double Sampling Plan using Genetic Algorithm
 
Creator Sundaram, Sampath; DEPARTMENT OF STATISTICS
UNIVERSITY OF MADRAS
CHENNAI 600005
Deepa, S P; SDNB VAISHNAV COLLEGE FOR WOMEN
CHROMEPET
CHENNAI
600044
INDIA
 
Subject Statistics
Acceptance Sampling Plans
 
Description Designing double sampling plan requires identification of sample sizes and acceptance numbers. In this paper a genetic algorithm has been designed for the selection of optimal acceptance numbers and sample sizes for the specified producer’s risk and consumer’s risk. Implementation of the algorithm has been illustrated numerically for different choices of quantities involved in a double sampling plan    <!--
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Publisher College of Statistical and Actuarial Sciences
 
Contributor —
 
Date 2012-03-28
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://www.pjsor.com/index.php/pjsor/article/view/255
10.18187/pjsor.v8i2.255
 
Source Pakistan Journal of Statistics and Operation Research; Vol 8. No. 2, 2012; 195-203
2220-5810
1816-2711
 
Language eng
 
Relation http://www.pjsor.com/index.php/pjsor/article/view/255/200