(Faculty of Science Kenyatta University, 2000) Otieno, Romanus Odhiambo; Mwalili, Tobias Mbithi
Nonparametric regression provides computationally intensive estimation of unknown finite
population quantities. Such estimation can be more robust than inference tied to model based
inference. A nonparametric procedure for estimating error variance is suggested. An empirical
example is given to illustrate the performance of the derived estimator vis-a-vis the currently
popular variance estimator in model based surveys.