On Estimating the Linear-by-Linear Parameter for Ordinal Log-Linear Models: A Computational Study

<table>Graphical view of the performance of <svg height="21.8125" id="M215" style="vertical-align:-5.04861pt" version="1.1" viewbox="0 0 45.462502 21.8125" width="45.462502" xmlns="http://www.w3.org/2000/svg">
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</svg> (<a href="https://static.hindawi.com/articles/isrn/volume-2012/340415/figures/#EEq6">10</a>) for estimating <svg height="13.425" id="M216" style="vertical-align:-2.29482pt" version="1.1" viewbox="0 0 10.2 13.425" width="10.2" xmlns="http://www.w3.org/2000/svg">
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</svg>. Mean estimate of parameter versus true parameter for the different values of <svg height="13.425" id="M217" style="vertical-align:-2.29482pt" version="1.1" viewbox="0 0 10.2 13.425" width="10.2" xmlns="http://www.w3.org/2000/svg">
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</svg> and contingency tables of varying dimension.</table>

International Scholarly Research Notices

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Figure 3

Figure 3: On Estimating the Linear-by-Linear Parameter for Ordinal Log-Linear Models: A Computational Study 