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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/7893

Title: Empirical likelihood in a semi-parametric model for missing response data
Authors: WANG, Lichun
VERAVERBEKE, Noel
Issue Date: 2006
Publisher: TAYLOR & FRANCIS LTD
Citation: Communications in Statistics, A35. p. 625-639
Abstract: Let Y be a response and, given covariate X , Y has a conditional density f ( y | x , ?), where ? is a unknown p -dimensional vector of parameters and the marginal distribution of X is unknown. When responses are missing at random, with auxiliary information and imputation, we define an adjusted empirical log-likelihood ratio for the mean of Y and obtain its asymptotic distribution. A simulation study is conducted to compare the adjusted empirical log-likelihood and the normal approximation method in terms of coverage accuracies.
URI: http://hdl.handle.net/1942/7893
DOI: 10.1080/03610920500498873
ISI #: 000236011300006
ISSN: 0090-3272
Category: A1
Type: Journal Contribution
Validation: ecoom, 2007
Appears in Collections: Research publications

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