Analysis of mixed-up plots randomized block design

Abstract

Abstract Attempt has bccn madc to find out the practical implication of some methods for tackling mixed-up plots in randomized block dcsign. Two methods havc bccn examined and other possible methods discussed in this paper. Infact, both methods used pseudo-variate for mixed-up plots and are equally efficient to tacklc mixed-up values. Howcvcr, by John and Lewis's (1976) method it could be possible to tackle missing and mixed-up values simultaneously. Other methods also suggcstcd to make a covariance adjustment on a pseudo-variatc.