re is no bias, the
weights are unity.</p>
</dd>
<dt>se<span class="classifier">ndarray [nfft]</span></dt><dd><p>real vector containing the number of degrees of freedom
for the spectral estimate at each frequency.</p>
</dd>
</dl>
<p><strong>Returns</strong></p>
<dl class="simple">
<dt>spec_ci<span class="classifier">ndarray [nfft,2]</span></dt><dd><p>real array of jackknife error estimates, with 5 and 95%
confidence intervals of the spectrum.</p>
</dd>
</dl>
<p><strong>Calls</strong></p>
<p>scipy.stats.t.ppf