Events and Meetings of Italian Statistical Society, Advances in Latent Variables - Methods, Models and Applications

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A Study of Bias for Non-Iterative Estimates of the Linear-by-Linear Association Parameter from the Ordinal Log-Linear Model
Eric J. Beh, Sidra Zafar, Salman A Cheema, Irene L Hudson

Last modified: 2013-06-24

Abstract


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.

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