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

<table>Graphical view of the performance of <svg height="19.549999" id="M221" style="vertical-align:-3.23158pt" version="1.1" viewbox="0 0 37.5625 19.549999" width="37.5625" xmlns="http://www.w3.org/2000/svg">
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<tspan style="font-size: 12.50px; " x="0" y="0"></tspan>
<tspan style="font-size: 12.50px; " x="-0.52999997" y="2.73">𝜙</tspan>
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<tspan style="font-size: 8.75px; " x="0" y="0">B</tspan>
<tspan style="font-size: 8.75px; " x="5.837584" y="0">D</tspan>
<tspan style="font-size: 8.75px; " x="12.156528" y="0">N</tspan>
<tspan style="font-size: 8.75px; " x="18.475471" y="0">I</tspan>
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</svg> (<a href="https://static.hindawi.com/articles/isrn/volume-2012/340415/figures/#EEq9">12</a>) for estimating <svg height="13.425" id="M222" 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="M223" 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">
<g transform="matrix(1.25,0,0,-1.25,0,13.425)">
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<tspan style="font-size: 12.50px; " x="0" y="0">𝜙</tspan>
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</svg> and contingency tables of varying dimension.</table>

International Scholarly Research Notices

fig5

Figure 5

Figure 5: On Estimating the Linear-by-Linear Parameter for Ordinal Log-Linear Models: A Computational Study 