An edition of Sample survey calibration
(2009)
Sample survey calibration
an information theoretic perspective
by Martin Wittenberg
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"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.
Publish Date
2009
Language
English
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Subjects
Surveys, Statistical methods, Sampling (Statistics)Showing 1 featured edition. View all 1 editions?
| Edition | Availability |
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1
Sample survey calibration: an information theoretic perspective
2009, Southern Africa Labour and Development Research Unit, University of Cape Town
in English
0981445128 9780981445120
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- Created December 20, 2022
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