Sample survey calibration
Subtitle: an information theoretic perspective
By: by Martin Wittenberg
Contributors: University of Cape Town. Southern Africa Labour and Development Research Unit
Series: Working paper series -- no. 41; Saldru working paper -- no. 41.
Publisher: Southern Africa Labour and Development Research Unit, University of Cape Town
Published: 2009
Place of publication: Cape Town, South Africa
Language: eng
ISBN-13: 9780981445120
Subjects: Surveys; Statistical methods; Sampling (Statistics)
Description: "We show that the pseudo empirical maximum likelihood estimator can be recast as a calibration estimator. The process of estimating the probabilities pk of the distribution function can be done also in a maximum entropy framework. We suggest that a minimum cross-entropy estimator has attractive theoretical properties. A Monte Carlo simulation suggests that this estimator outperforms the PEMLE and the Horvitz-Thompson estimator"--p. 1.
Notes: Bibliography.