html/jackknife_docs.php

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 113 <div id="Layer1"
 114  style="position: absolute; left: 335px; top: 42px; width: 388px; height: 43px; z-index: 1; font-size: x-small;">
 115 <div class="style1" align="right">Jackknife<br>
 116 </div>
 117 </div>
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 120 <div align="justify">
 121 <h4>Documentation of the Jackknife tool will soon be available here.</h4>
 122 <!--
 123 <h3 class="heading1">Synopsis</h3>
 124 <tt>$ </tt>
 125 <h3 class="heading1">Description</h3>
 126 <p>First introduced by Quenouille (ref), the Jackknife is often used to calculate the bias in parameter estimates. The bias of the parameter estimate <img src="images/jkest1.gif" width="13" height="22"> for a data set of <em>n</em> individuals can be calculated as </p>
 127 <p align="center"><img src="images/jkbias1.gif" width="144" height="34" align="middle"></p>
 128 <p>where</p>
 129 <p align="center"><img src="images/jkmean1.gif" width="90" height="45" align="middle"></p>
 130 The <img src="images/jkest2.gif"> are the parameter estimates using the data set with individual <em>i</em> removed. Conceptually,
 131 the Jackknife is very closely related to the Case-deletion Diagnostics method, but the objective is very different.
 132 <h3 class="heading1">Options</h3>
 133 <p>Blah.
 134 </p>
 135 <h3 class="heading1">Output</h3>
 136 <h4>Result file</h4>
 137 In the results file you will find...
 138 <h4>Additional files and
 139 directories</h4>
 140 <p>Bootstrap creates no special
 141 files or directories.</p>
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 143   <tbody>
 144     <tr>
 145       <td style="font-weight: bold; vertical-align: top;">Option</td>
 146       <td style="font-weight: bold; vertical-align: top;">Type</td>
 147       <td style="font-weight: bold; vertical-align: top;">Default
 148 value</td>
 149       <td style="font-weight: bold; vertical-align: top;">Description</td>
 150     </tr>
 151     <tr>
 152       <td style="vertical-align: top; font-family: monospace;">bca</td>
 153       <td style="vertical-align: top;"></td>
 154     </tr>
 155     <tr>
 156       <td style="vertical-align: top; font-family: monospace;">samples</td>
 157       <td style="vertical-align: top;">Integer</td>
 158       <td style="vertical-align: top;">200</td>
 159       <td style="vertical-align: top;">Specifies
 160 the number
 161 bootstrap resamplings the bootstrap should make.</td>
 162     </tr>
 163     <tr>
 164       <td style="vertical-align: top; font-family: monospace;">sample_size</td>
 165       <td style="vertical-align: top;">Integer</td>
 166       <td style="vertical-align: top;">Number
 167 of individuals in
 168 the data set</td>
 169       <td style="vertical-align: top;">Specifies
 170 how many
 171 individuals that should be resampled from the data sets</td>
 172     </tr>
 173     <tr>
 174       <td style="vertical-align: top; font-family: monospace;">stratify_on</td>
 175       <td style="vertical-align: top;">String
 176 or Integer</td>
 177       <td style="vertical-align: top;">Not
 178 defined</td>
 179       <td style="vertical-align: top;">This
 180 option lets you
 181 control how bootstrap creates the new data set. It is either an
 182 integer, a column number, or a string, a column head. The bootstrap
 183 will then group the individuals according to the value of the specified
 184 column and resample the groups one by one. The result is that the
 185 proportions of group sizes are maintained in the new data sets. It
 186 prevents important subgroups to be left out of the new data sets.</td>
 187     </tr>
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 189 </table>
 190 <p></p>
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