ANALYSIS OF AUTO CORRELATED DATA

Abstract

Repeated measures analysis widely used tool of applied statistician. However, its uses are confronted with what seems to be a myriad of decisions, even in its simple application due to the serial auto correlation of repeated measures data. Milk production of four different cattle groups at Maizube Farms Ltd, Minna, Nigeria were analysed using individual curves fitting, trend analysis and one way analysis of variance which showed serial auto correlation of the repeated measures data with time. In order to remove auto correlation of measures with respect to time, satisfactory approaches such as generalized linear model, profile plots and two-stage linear model were used and the result obtained showed remarkable improvement over the former descriptive approach