On some calibration estimators of subpopulation total for longitudinal data
Streszczenie
The problem of modeling longitudinal profiles is considered assuming
that the population and elements affiliation to subpopulation may change in time. The
considerations are based on a model with auxiliary variables for longitudinal data with
subject specific (in this case - element and subpopulation specific) random components
(compare Verbeke, Molenberghs, 2000; Hedeker, Gibbons, 2006) which is a special case
of the General Linear Mixed Model. In the paper calibration estimators of subpopulation
total for data from one period are presented and some modifications for the case of longitudinal data are proposed. Design-based mean squared errors and its estimators are
also presented. In the simulation study accuracy of the estimators is compared with Horvitz-Thomson estimator and the best empirical linear unbiased predictor derived for the
considered model.
Collections