Maximum Entropy Estimation for Survey sampling

Details Maximum Entropy Estimation for Survey sampling Maximum Entropy Estimation for Survey sampling

2009-09-22

arxiv.org/abs/0909.4046v1

Statistics

Methodology

25 pages

Scientific paper

Calibration methods have been widely studied in survey sampling over the last decades. Viewing calibration as an inverse problem, we extend the calibration technique by using a maximum entropy method. Finding the optimal weights is achieved by considering random weights and looking for a discrete distribution which maximizes an entropy under the calibration constraint. This method points a new frame for the computation of such estimates and the investigation of its statistical properties.

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