Abstract
Analysis of Covariance consider to be quite important procedure to reduce the effect of some independents factors before going through the experiment. By this procedure we can compare variances causes from the difference between treatments and error term variance of they are equals or less than consider to be not significant, otherwise if is significant. We carry on with this comparison until we find the greatest covser for the significant variance flam the treatments. There are methods can be used like least significant difference method, Duncan method and Turkeys' w-procedure and Student Newman.
DOI
10.33095/jeas.v16i60.1518
Subject Area
Statistical
First Page
199
Last Page
215
Recommended Citation
Mahdi, D. I. (2010). On the Method of Multivariate Analysis of Covariance Using a Split-Plot Design. Journal of Economics and Administrative Sciences, 16(60), 199-215. https://doi.org/10.33095/jeas.v16i60.1518
