culate adaptively weighted jackknifed 95% confidence limits</p>
<p><strong>Parameters</strong></p>
<dl class="simple">
<dt>spec<span class="classifier">ndarray [nfft]</span></dt><dd><p>real vector containing adaptively weighted spectrum</p>
</dd>
<dt>sk<span class="classifier">ndarray [nfft,kspec]</span></dt><dd><p>array with kth power spectra</p>
</dd>
<dt>wt<span class="classifier">ndarray [nfft,kspec]</span></dt><dd><p>real array containing the ne weights for kspec 
eigenspectra normalized so that if the