Pseudo-likelihood and quasi-likelihood estimation for complex sampling schemes
Pseudo-likelihood and quasi-likelihood estimation for complex sampling schemes
Pseudo-likelihood, quasi-likelihood, and weighted least squares procedures for fitting generalized linear models to data generated by complex sampling schemes are considered. These procedures are illustrated using Family Expenditure Survey data.
395-405
Molina C., E.A.
c7ecfa6a-7996-4c84-ade9-172e1cee7c75
Skinner, C.J.
dec5ef40-49ef-492a-8a1d-eb8c6315b8ce
May 1992
Molina C., E.A.
c7ecfa6a-7996-4c84-ade9-172e1cee7c75
Skinner, C.J.
dec5ef40-49ef-492a-8a1d-eb8c6315b8ce
Molina C., E.A. and Skinner, C.J.
(1992)
Pseudo-likelihood and quasi-likelihood estimation for complex sampling schemes.
Computational Statistics and Data Analysis, 13 (4), .
(doi:10.1016/0167-9473(92)90114-U).
Abstract
Pseudo-likelihood, quasi-likelihood, and weighted least squares procedures for fitting generalized linear models to data generated by complex sampling schemes are considered. These procedures are illustrated using Family Expenditure Survey data.
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Published date: May 1992
Organisations:
Social Statistics
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Local EPrints ID: 34663
URI: http://eprints.soton.ac.uk/id/eprint/34663
ISSN: 0167-9473
PURE UUID: 3846e09b-b36e-49b8-9e63-4376a7c0c612
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Date deposited: 22 Jan 2008
Last modified: 15 Mar 2024 07:48
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Author:
E.A. Molina C.
Author:
C.J. Skinner
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