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‎docs/copying.html

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‎docs/description.json

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{
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"generator": "generate_html",
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"name": "statistics-resampling",

‎docs/function/boot.html

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‎docs/function/boot1way.html

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-----------------------------------------------------------------------------
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| Comparison | Test # | Ref # | Difference | t | p |
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|------------|------------|------------|------------|------------|----------|
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| 1 | 2 | 1 | -0.9797 | -2.64 | .035 |*
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| 1 | 2 | 1 | -0.3605 | -0.88 | .291 |
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-----------------------------------------------------------------------------
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| GROUP # | GROUP label | N |
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-----------------------------------------------------------------------------
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| Comparison | Test # | Ref # | Difference | t | p |
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|------------|------------|------------|------------|------------|----------|
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| 1 | 2 | 1 | -1.212 | -1.15 | .088 |
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| 1 | 2 | 1 | -0.3714 | -0.88 | .291 |
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| GROUP # | GROUP label | N |

‎docs/function/bootbayes.html

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Posterior Statistics:
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original bias median stdev CI_lower CI_upper
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+184.5 -0.02316 +184.5 1.349 +181.7 +187.1</pre>
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+184.5 +0.007563 +184.5 1.284 +182.2 +187.2</pre>
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</div>
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<h3><a name="2">Demonstration 2</a></h3>
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Posterior Statistics:
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original bias median stdev CI_lower CI_upper
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+175.5 -0.1144 +175.4 2.342 +171.4 +180.4
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+0.1904 +0.002996 +0.1936 0.07780 +0.03952 +0.3372</pre>
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+175.5 -0.005919 +175.5 2.386 +170.7 +179.9
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+0.1904 -0.001192 +0.1906 0.08004 +0.04064 +0.3455</pre>
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</div>
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<p>Package: <a href="../index.html">statistics-resampling</a></p>

‎docs/function/bootcdf.html

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‎docs/function/bootci.html

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<p>Produces the following output</p>
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<pre class="example">ci =
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-0.011714 -0.22144
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0.6564 0.31204</pre>
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-0.19366 -0.68109
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0.75823 0.52317</pre>
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<h3><a name="11">Demonstration 11</a></h3>

‎docs/function/bootclust.html

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Bootstrap Statistics:
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original bias std_error CI_lower CI_upper
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+0.3007 +0.007771 +0.2331 -0.1203 +0.6520
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-0.01086 +0.01519 +0.2865 -0.4592 +0.4696</pre>
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+0.7213 +0.008818 +0.1659 +0.4508 +0.9975
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-0.08060 -0.01384 +0.1462 -0.3138 +0.1548</pre>
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<h3><a name="8">Demonstration 8</a></h3>
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Bootstrap Statistics:
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original bias std_error CI_lower CI_upper
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+0.1979 +0.001085 +0.1415 -0.05864 +0.4100
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+0.1593 +0.01669 +0.07158 +0.02569 +0.2652</pre>
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-0.2895 +0.05789 +0.2239 -0.6500 +0.05619
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+0.1578 -0.03429 +0.3270 -0.4951 +0.6020</pre>
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<h3><a name="9">Demonstration 9</a></h3>

‎docs/function/bootint.html

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‎docs/function/bootknife.html

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Bootstrap Statistics:
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original bias std_error CI_lower CI_upper
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+0.1519 +0.03478 +0.2451 -0.2481 +0.5271
446-
+0.2824 +0.01686 +0.2437 -0.08981 +0.6853</pre>
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+0.01723 -0.02296 +0.2378 -0.3289 +0.4718
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-0.05562 -0.03788 +0.2238 -0.4379 +0.2567</pre>
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<h3><a name="9">Demonstration 9</a></h3>

‎docs/function/bootlm.html

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‎docs/function/bootmode.html

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ans = H1 is 1 with p = 0 so reject the null hypothesisthat there is 1 mode
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ans = H2 is 0 with p = 0.326 so accept the null hypothesis that there are 2 modes</pre>
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ans = H2 is 0 with p = 0.317 so accept the null hypothesis that there are 2 modes</pre>
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<p>Package: <a href="../index.html">statistics-resampling</a></p>

‎docs/function/bootstrp.html

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‎docs/function/bootwild.html

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Test Statistics:
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original std_err CI_lower CI_upper t-stat p-val FPR
183-
+184.5 +1.243 +181.7 +187.3 +148. <.001 .010</pre>
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+184.5 +1.243 +181.6 +187.4 +148. <.001 .010</pre>
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<h3><a name="2">Demonstration 2</a></h3>
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Test Statistics:
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original std_err CI_lower CI_upper t-stat p-val FPR
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+175.5 +2.502 +169.8 +181.2 +70.1 <.001 .010
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+0.1904 +0.08261 +0.005631 +0.3752 +2.31 .046 .277</pre>
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+0.1904 +0.08261 +0.003534 +0.3773 +2.31 .047 .280</pre>
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<p>Package: <a href="../index.html">statistics-resampling</a></p>

‎docs/function/cor.html

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‎docs/function/credint.html

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<pre class="example">
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% Input univariate dataset
83-
heights = [183, 192, 182, 183, 177, 185, 188, 188, 182, 185].';
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y = [5.18 2.71 2.69 6.09 4.23 10.7 3.71 13.13 19.28 6.61].';
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% 95% credible interval for the mean
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[stats, bootstat] = bootbayes (heights);
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[stats, bootstat] = bootbayes (y);
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CI = credint (bootstat,0.95) % 95% shortest probability interval
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CI = credint (bootstat,[0.025,0.975]) % 95% equal-tailed interval
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% Please be patient, the calculations will be completed soon...</pre>
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<p>Produces the following output</p>
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<pre class="example">CI =
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181.92 187.09
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4.7095 10.935
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9696
CI =
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181.9 187.08</pre>
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4.8377 11.384</pre>
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<p>Package: <a href="../index.html">statistics-resampling</a></p>

‎docs/function/deffcalc.html

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‎docs/function/randtest.html

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<p>Produces the following output</p>
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<pre class="example">pval =
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0.0002
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stat =
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% of standardized x and y values.
174174
[pval, stat] = randtest (X, Y, 5000, @cor)</pre>
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<p>Produces the following output</p>
176-
<pre class="example">pval = 0.00079237
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stat = 0.72317</pre>
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‎docs/function/randtest1.html

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‎docs/function/randtest2.html

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@(A, B) log (var (A) ./ var (B)))
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</pre>
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<p>Produces the following output</p>
165-
<pre class="example">pval = 0.3518
166-
pval = 0.2802
167-
pval = 0.3068</pre>
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<pre class="example">pval = 0.3668
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pval = 0.2698
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pval = 0.30905</pre>
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<h3><a name="2">Demonstration 2</a></h3>

‎docs/function/sampszcalc.html

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