A Semiparametric Approach for Modeling Partially Linear Autoregressive Model with Skew Normal Innovations

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td class="align_left"><i>n</i></td><td class="align_center">Mean</td><td class="align_center">Min</td><td class="align_center">Max</td><td class="align_center">Variance</td><td class="align_center">Skewness</td><td class="align_center">Sum</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td class="align_left">35</td><td class="align_center">3.74</td><td class="align_center">1.08</td><td class="align_center">7.75</td><td class="align_center">2.77</td><td class="align_center">0.37</td><td class="align_center">131.12</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The descriptive statistics of the values for ARW data, 1974–2008.</div>

Advances in Mathematical Physics

tab5

Table 5

Table 5: A Semiparametric Approach for Modeling Partially Linear Autoregressive Model with Skew Normal Innovations 