CONFOUNDING 2K FACTORIAL DESIGN TO OBTAIN OPTIMAL YIELD USING DIFFERENT ORGANIC MANUREUkeme Akra
Optimal designRun minimization2k Full factorial designs may be prohibitively expensive when the number of factors k is large. The most popular technique developed to reduce the number of treatment combinations is the fractional factorial design; confounding in estimating the model parameters naturally ...
design of experimentsfractional factorial designsorthogonal arraysWe describe a simple method for identifying the confounding pattern for 2k-p experiments when the design matrix is the only available information. This problem arises when one is interested in the study of a published design selected ...
Given that an NC design has been run, the performance of stepwise regression for model selection is unknown. In this dissertation I present a comprehensive simulation study evaluating stepwise regression for analyzing both regular fractional factorial and NC designs.;Next, the projection properties of ...