Estimating linear-by-linear association has long been an important topic in the analysis of contingency tables. For ordinal variables,\r\nlog-linear models may be used to detect the strength and magnitude of the association between such variables, and iterative\r\nprocedures are traditionally used. Recently, studies have shown, by way of example, three non-iterative techniques can be used\r\nto quickly and accurately estimate the parameter. This paper provides a computational study of these procedures, and the results\r\nshow that they are extremely accurate when compared with estimates obtained using Newton�s unidimensional method.
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