Skewness and Kurtosis: Important Parameters in the Characterization of Dental Implant Surface Roughness—A Computer Simulation

<table>Frequency distribution for skewness for the basic surface roughness with outliers. Sampling length = filter size = 5<svg height="14.5625" id="M73" style="vertical-align:-3.20526pt" version="1.1" viewbox="0 0 30.237499 14.5625" width="30.237499" xmlns="http://www.w3.org/2000/svg">
<g transform="matrix(1.25,0,0,-1.25,0,14.5625)">
<g transform="translate(72,-60.35)">
<text transform="matrix(1,0,0,-1,-71.95,63.6)">
<tspan style="font-size: 12.50px; " x="0" y="0">𝑅</tspan>
<tspan style="font-size: 12.50px; " x="9.2522202" y="0">𝑆</tspan>
</text>
<text transform="matrix(1,0,0,-1,-54.57,60.47)">
<tspan style="font-size: 8.75px; " x="0" y="0">𝑚</tspan>
</text>
</g>
</g>
</svg>. The dashed line represents the true value (Table <a href="../tab2/">2</a>).</table>

International Scholarly Research Notices

fig3

Figure 3

Figure 3: Skewness and Kurtosis: Important Parameters in the Characterization of Dental Implant Surface Roughness—A Computer Simulation 