Nonparametric regression method for estimating the error variance in unistage sampling

Loading...
Thumbnail Image
Date
2000
Authors
Otieno, Romanus Odhiambo
Mwalili, Tobias Mbithi
Journal Title
Journal ISSN
Volume Title
Publisher
Faculty of Science Kenyatta University
Abstract
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.
Description
Research Article
Keywords
Auxiliary variable, bandwidth, kernel estimator, ratio estimator, non-parametric regression, variance estimation
Citation
East African Journal of Science 2(2): 107-112 (2000)