A Mathematical Tool for Inference in Logistic Regression with Small-Sized Data Sets: A Practical Application on ISW-Ridge Relationships

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td align="left">Test</td><td align="center">Chi-square</td><td align="center">DF</td><td align="center">Pr &gt; Chi-sq</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="left">Likelihood
 ratio</td><td align="center">65.5642</td><td align="center">3</td><td align="center">&lt;.0001</td></tr><tr><td align="left">Score</td><td align="center">37.4643</td><td align="center">3</td><td align="center">&lt;.0001</td></tr><tr><td align="left">Wald</td><td align="center">7.8052</td><td align="center">3</td><td align="center">0.0502</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Testing of the global null hypothesis: <i><i>β</i></i> = 0.

Mathematical Problems in Engineering

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Table 3

Table 3: A Mathematical Tool for Inference in Logistic Regression with Small-Sized Data Sets: A Practical Application on ISW-Ridge Relationships 