A study of bias for non-iterative estimates of the linear-by-linear association parameter from the ordinal log-linear models

Title: A study of bias for non-iterative estimates of the linear-by-linear association parameter from the ordinal log-linear models
Creator: Zafar, Sidra; Cheema, Salman A.; Beh, Eric J.; Hudson, Irene L.
Relation: SIS 2013 Statistical Conference. Advances in Latent Variables: Proceedings of SIS 2013 Statistical Conference (Brescia, Italy 19-21 June, 2013)
Relation: http://meetings.sis-statistica.org/index.php/sis2013/ALV
Publisher: Vita e Pensiero
Resource Type: conference paper
Date: 2013
Description: Ordinal log-linear models (OLLM) are commonly used to analyse the association in a contingency table with ordered categorical variables. Recently, a non-iterative procedure was introduced to estimate the linear-by-linear association parameter of the OLLM. This paper will consider two of these non-iterative estimates and show that they are unbiased.
Subject: log-linear models; contingency table; OLLM; analysis
Identifier: http://hdl.handle.net/1959.13/1052210
Identifier: uon:15388
Identifier: ISBN:9788834325568
Language: eng
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