dc.contributor.author | Nyamu, D. Maringa | |
dc.contributor.author | Maranga, S M | |
dc.contributor.author | Mutuli, S M | |
dc.date.accessioned | 2013-08-08T13:15:59Z | |
dc.date.available | 2013-08-08T13:15:59Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Nyamu, D. Maringa, S M Maranga and S M Mutuli (2013). Selecting a Sampling Plan for Reinforcement Bars. Industrial Engineering Letters, Vol.3, No.4 | en |
dc.identifier.uri | http://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.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/55553 | |
dc.description.abstract | In 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.iso | en | en |
dc.title | Selecting a Sampling Plan for Reinforcement Bars | en |
dc.type | Article | en |
local.publisher | Department of Mechanical and Automotive Engineering. Technical University of Mombasa | en |
local.publisher | Department of Mechanical Engineering. Jomo Kenyatta University of Agriculture and Technology | en |
local.publisher | Department of Mechanical Engineering. University of Nairobi | en |