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

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conference contribution
posted on 2025-05-11, 09:09 authored by Sidra Zafar, Salman A. Cheema, Eric J. Beh, Irene L. Hudson
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.

History

Source title

Advances in Latent Variables: Proceedings of SIS 2013 Statistical Conference

Name of conference

SIS 2013 Statistical Conference

Location

Brescia, Italy

Start date

2013-06-19

End date

2013-06-21

Publisher

Vita e Pensiero

Place published

Milan, Italy

Language

  • en, English

College/Research Centre

Faculty of Science and Information Technology

School

School of Mathematical and Physical Sciences

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