Abstract
Bogong Li (2003) "A Simulation Comparison
Between Alternative Outlier Resistant Ratio Estimators." Proceedings
of the Section on Survey Research Methods, 2003, American Statistical
Association.
Model-based predictive approach to finite population estimation
provides insights into underlying mechanisms of social or economic
phenomena. This feature is drawing the favor of specialists in many
scientific fields to this method. Its use does not contradict, in most
cases, the design-based estimators while taking full advantage of the
theory and empirical results of generalized liner models. However,
erroneous outlying observations resulting from the survey data collection
may cause greater damage and affect the estimation by the model-based
methods in a different way. This study proposes an outlier-resistant
model-based estimator by bounding the influence function of possible
erroneous outliers on estimated model parameters. It examines and compares
the effects of outlying/extreme observations on finite population
estimators by alternative estimators assuming the super population model
is true.
Last Modified Date: July 15, 2004
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