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dc.contributor.authorNyamu, D. Maringa
dc.contributor.authorMaranga, S M
dc.contributor.authorMutuli, S M
dc.date.accessioned2013-08-08T13:15:59Z
dc.date.available2013-08-08T13:15:59Z
dc.date.issued2013
dc.identifier.citationNyamu, D. Maringa, S M Maranga and S M Mutuli (2013). Selecting a Sampling Plan for Reinforcement Bars. Industrial Engineering Letters, Vol.3, No.4en
dc.identifier.urihttp://www.google.co.ke/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&ved=0CDYQFjAB&url=http%3A%2F%2Fwww.iiste.org%2FJournals%2Findex.php%2FIEL%2Farticle%2Fdownload%2F5167%2F5248&ei=3JcDUsuAGIqphAe3uoCIAw&usg=AFQjCNEI7Jy1Mj0hM2WWYF6z4gg2Cab8tQ&bvm=bv.50500085,d.ZG4
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/55553
dc.description.abstractIn this study we employ modern statistical methods to the sampling problem. The application of statistics by engineers dates back a long while in solving industrial, management, and research problems. Quality and reliability engineers, technicians and laboratory analysts, inspectors, operators, opinion pollsters and other scholars are known users of sampling methods. Sampling techniques save time and cost and obtain relevant data that is representative. The methods described here are viable alternatives to the sampling problem. Ultimately the cost factor comes out as the loudest voice in the debate on best choice of sampling plan for reinforcement bars in Kenya.en
dc.language.isoenen
dc.titleSelecting a Sampling Plan for Reinforcement Barsen
dc.typeArticleen
local.publisherDepartment of Mechanical and Automotive Engineering. Technical University of Mombasaen
local.publisherDepartment of Mechanical Engineering. Jomo Kenyatta University of Agriculture and Technologyen
local.publisherDepartment of Mechanical Engineering. University of Nairobien


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