dc.contributor.author | Muia, Dominic, M | |
dc.date.accessioned | 2021-12-17T07:10:25Z | |
dc.date.available | 2021-12-17T07:10:25Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | http://erepository.uonbi.ac.ke/handle/11295/155918 | |
dc.description.abstract | In this project we focus on the construction of partially duplicated fractional factorial
designs. Factors involved in these designs are at two levels. In the first part of this work
we discuss partially duplicated fractional factorial designs that permit estimation of main
effects and two factor interactions only. In part two of this work, we construct partially
duplicated fractional factorial designs that permit estimation of main effects, two-factor
and three-factor interactions only assuming high order interactions to be absent. Designs
presented in this project have as many as ten factors. The method of construction,
analysis, test procedure and block designs is illustrated and can be used in any of the
designs presented in this work. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Nairobi | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | Fractional factorial designs which allow estimation up to three factor interactions | en_US |
dc.title | Fractional factorial designs which allow estimation up to three factor interactions | en_US |
dc.type | Thesis | en_US |