On maximum likelihood estimation for log-linear models with non-ignorable non-response
Clarke, Paul S. and Smith, Peter W.F. (2005) On maximum likelihood estimation for log-linear models with non-ignorable non-response. Statistics & Probability Letters, 73, (4), 441-448. (doi:10.1016/j.spl.2005.04.019).
Download
Full text not available from this repository.
Original Publication URL: http://dx.doi.org/10.1016/j.spl.2005.04.019
Description/Abstract
Non-response boundary solutions occur in log-linear models with non-ignorable non-response. We prove existence and uniqueness of maximum likelihood estimates under weak conditions, and their consistency and asymptotic normality. This contrasts with findings for boundary solutions in log-linear models for sparse tables.
| Item Type: | Article |
|---|---|
| ISSNs: | 0167-7152 (print) |
| Related URLs: | |
| Keywords: | boundary solutions, categorical data, consistency, informative non-response, normal approximation |
| Subjects: | H Social Sciences > HA Statistics |
| Divisions: | University Structure - Pre August 2011 > School of Social Sciences > Social Statistics |
| Item ID: | 34769 |
| Date Deposited: | 16 May 2006 |
| Last Modified: | 01 Jun 2011 11:37 |
| Contributors: | Clarke, Paul S. (Author) Smith, Peter W.F. (Author) |
| Date: | 2005 |
| Status: | Published |
| Contact Email Address: | paul.clarke@imperial.ac.uk |
| URI: | http://eprints.soton.ac.uk/id/eprint/34769 |
Actions (login required)
 |
View Item |
