Asymptotical bias of total predictors in poststratified sampling

Asymptotical bias of total predictors in poststratified sampling

0.00 Avg rating0 Votes
Article ID: iaor19972200
Country: Cuba
Volume: 16
Issue: 3
Start Page Number: 91
End Page Number: 96
Publication Date: Sep 1995
Journal: Revista de Investigacin Operacional
Authors:
Abstract:

Poststratification is a current technique in survey sampling. It is used when a regression superpopulation model generates the observations. This technique is analyzed through two predictors which are suggested by the estimators studied previously by Pfefferman-Krieger. A third predictor is proposed. Their asymptotical conditional design biases are obtained. They are used, as is currently done in the literature, for evaluating their behaviour.

Reviews

Required fields are marked *. Your email address will not be published.