Determination of Optimal Double Sampling Plan using Genetic Algorithm
Pakistan Journal of Statistics and Operation Research
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Title |
Determination of Optimal Double Sampling Plan using Genetic Algorithm
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Creator |
Sundaram, Sampath; DEPARTMENT OF STATISTICS UNIVERSITY OF MADRAS CHENNAI 600005 Deepa, S P; SDNB VAISHNAV COLLEGE FOR WOMEN CHROMEPET CHENNAI 600044 INDIA |
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Subject |
Statistics
Acceptance Sampling Plans |
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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 <!-- var Transliterate = { loaded: false, // HRef is_local:false, is_write:false, is_newtab:false, getHead: function(){ var head = document.getElem |
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Publisher |
College of Statistical and Actuarial Sciences
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Contributor |
—
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Date |
2012-03-28
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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Format |
application/pdf
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Identifier |
http://www.pjsor.com/index.php/pjsor/article/view/255
10.18187/pjsor.v8i2.255 |
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Source |
Pakistan Journal of Statistics and Operation Research; Vol 8. No. 2, 2012; 195-203
2220-5810 1816-2711 |
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Language |
eng
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Relation |
http://www.pjsor.com/index.php/pjsor/article/view/255/200
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