INTERNATIONAL STATISTICAL REVIEW, cilt.77, sa.3, ss.366-377, 2009 (SCI-Expanded)
P>Analysis of covariance techniques have been developed primarily for normally distributed errors. We give solutions when the errors have non-normal distributions. We show that our solutions are efficient and robust. We provide a real-life example.