LOG-LINEAR AND LOG-BILINEAR MODELS WITH ORDINAL CATEGORIES
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How to Cite

SIDDIQI, J. (1995). LOG-LINEAR AND LOG-BILINEAR MODELS WITH ORDINAL CATEGORIES. Journal of Social Sciences and Humanities, 35(1&2), 53-60. Retrieved from https://www.jsshuok.com/oj/index.php/jssh/article/view/360
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Abstract

Log-linear models provide a natural analog to the classical least square regression for categorical frequency data. These models are also extended for the data having ordered category. In this article ordinal log-linear models and RC-association (log- bilinear) model are compared. Also presented an idea for the interpretation of the parameters on the basis of odds-ratio. These models were applied to a data to illustrate the computation and comparability.

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