Generalized linear models incorporating population level information: an empirical-likelihood-based approach-Reference-Cited by-同舟云学术

Generalized linear models incorporating population level information: an empirical-likelihood-based approach

Published:2008-04 Issue:2 Volume:70 Page:311-328
ISSN:1369-7412
Container-title:Journal of the Royal Statistical Society: Series B (Statistical Methodology)
language:en
Short-container-title:J Royal Statistical Soc B

Author:

Chaudhuri Sanjay,Handcock Mark S.,Rendall Michael S.

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1467-9868.2007.00637.x/fullpdf

Reference26 articles.

1. Estimation of a covariance matrix with zeros

2. S. Chaudhuri, M. S. Handcock, and M. S Rendall . (2006 ) glmc: an R package for generalized linear models subject to constraints . University of Washington, Seattle. (Available from http://www.stat.nus.edu.sg/sanjay/softwares/glmc.html.)

3. PROVABLY FASTEST PARALLEL ALGORITHMS FOR BIPARTITE PERMUTATION GRAPHS

4. Using empirical likelihood methods to obtain range restricted weights in regression estimators for surveys

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