Asymptotic Characteristics of the Non-Iterative Estimates of the Linear-by-Linear Association Parameter for Ordinal Log-Linear Models

Over the past decade, a series of procedures has been introduced to estimate, using non-iterative method, linear-by-linear association parameter an ordinal log-linear model. This paper will examine two key non-iteratively determined estimates for analysis between categorical variables that form contingency table; these are log and Beh-Davy estimates, referred simply as LogNI BDNI respectively. Such examination focus on determining their asymptotic characteristics. To do so, computational study was undertaken tables varying sizes show asymptotically unbiased. It is also shown both normally distributed. On basis standard errors, relative efficiency established 13 commonly analysed appear throughout literature.