Sample survey calibration : an informational-theoretic perspective / 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 theo...

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Bibliographic Details
Uniform Title:Saldru working paper ; [new ser.], no. 41.
Main Author: Wittenberg, Martin
Corporate Author: University of Cape Town. Southern Africa Labour and Development Research Unit
Language:English
Published: Cape Town : Southern Africa Labour and Development Research Unit, UCT, [2009], ©2009.
Series:Saldru working paper ; [new ser.], no. 41.
Subjects:
Surveys > Statistical methods.
Sampling (Statistics)
Physical Description:6 pages ; 21 cm.
Also issued online.
Format: Book
Description
Summary:
"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.
Note:"This is a joint SALDRU/DataFirst Working Paper as part of the Mellon Data Quality Project"--P. [2] of cover.
Call Number:QA276 .W588 2009
Bibliography Note:Includes bibliographical references (page 6).
ISBN:9780981445120
0981445128
Additional Physical Form:
Also issued online.
Action Note:
copy1 Committed to retain 20200101 20341231 MI-SPI http://www.mcls.org/engagement/mi-spi/ MiEM