A Unit Probabilistic Model for Proportion and Asymmetric Data: Properties and Estimation Techniques with Application to Model Data from SC16 and P3 Algorithms

<table class="table-group" id="tab8"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Models</td><td class="align_center" colspan="2">Parameter estimates (standard errors)</td><td class="align_center"><span style="width: 11.2693ptpx;"><svg height="9.63826pt" id="M100" style="vertical-align:-0.3499298pt" version="1.1" viewbox="-0.0498162 -9.28833 11.2693 9.63826" width="11.2693pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M535 230V280H52V230H535Z"></path></g><g transform="matrix(.013,0,0,-0.013,7.631,0)"><path d="M238 681C243 705 239 712 230 712C217 712 156 682 75 674L70 648H105C148 648 153 641 144 598L39 110C18 11 35 -12 55 -12C90 -12 166 36 221 103L205 125C174 93 130 65 118 65C112 65 108 68 114 96L238 681Z"></path></g></svg></span></td><td class="align_center"><i>P</i> value (KS)</td></tr><tr><td class="thead-hr" 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<div>MLEs and standard errors (in parenthesis) for P3 data.</div>

Mathematical Problems in Engineering

tab8

Table 8

Table 8: A Unit Probabilistic Model for Proportion and Asymmetric Data: Properties and Estimation Techniques with Application to Model Data from SC16 and P3 Algorithms 

Table 8 | A Unit Probabilistic Model for Proportion and Asymmetric Data: Properties and Estimation Techniques with Application to Model Data from SC16 and P3 Algorithms 