Efficacy of Quasi-Cutoff Sampling and Model-Based Estimation For Establishment Surveys - and Related Considerations

by James R. Knaub, Jr.

Abstract: Weighted least squares regression through the origin has many uses in statistical science. An important use is for the estimation of attribute totals from establishment survey samples, where we might use quasi-cutoff sampling. Two questions in particular will be explored here, with respect to survey statistics: (1) How do we know this is performing well? and (2) What if the smallest members of the population appear to behave differently? This review article contains a summary of conclusions from experimental findings, and explanations with numerous references.

Key Words: Establishment Surveys, Heteroscedasticity, Model-Based Classical Ratio Estimator, Multiple Attributes, Nonsampling Error, Prediction, Regression Through the Origin, Total Survey Error, Weighted Least Squares Regression

Author:
James R. Knaub, Jr., jamesRknaub@gmail.com

Editor: Richard G. Graf, rgraf@sunstroke.sdsu.edu

NOTE: This article was revised on April 3, 2014.

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