Documentation updated

docs/pyerrors.html

@@ -190,7 +190,7 @@ After having arrived at the derived quantity of interest the <code>gamma_method<
 </code></pre></div>
 
 <p>We use the following definition of the integrated autocorrelation time established in <a href="https://link.springer.com/article/10.1007/BF01022990">Madras &amp; Sokal 1988</a>
-$$\tau_\mathrm{int}=\frac{1}{2}+\sum_{t=1}{W}\rho(t)$$
+$$\tau_\mathrm{int}=\frac{1}{2}+\sum_{t=1}^{W}\rho(t)\geq \frac{1}{2}$$
 The window $W$ is determined via the automatic windowing procedure described in <a href="https://arxiv.org/abs/hep-lat/0306017">arXiv:hep-lat/0306017</a>
 The standard value for the parameter $S$ of this automatic windowing procedure is $S=2$. Other values for $S$ can be passed to the <code>gamma_method</code> as parameter.</p>
 
@@ -433,7 +433,7 @@ See <code><a href="pyerrors/obs.html#Obs.export_jackknife">pyerrors.obs.Obs.expo
 <span class="sd">```</span>
 
 <span class="sd">We use the following definition of the integrated autocorrelation time established in [Madras &amp; Sokal 1988](https://link.springer.com/article/10.1007/BF01022990)</span>
-<span class="sd">$$\tau_\mathrm{int}=\frac{1}{2}+\sum_{t=1}{W}\rho(t)$$</span>
+<span class="sd">$$\tau_\mathrm{int}=\frac{1}{2}+\sum_{t=1}^{W}\rho(t)\geq \frac{1}{2}$$</span>
 <span class="sd">The window $W$ is determined via the automatic windowing procedure described in [arXiv:hep-lat/0306017](https://arxiv.org/abs/hep-lat/0306017)</span>
 <span class="sd">The standard value for the parameter $S$ of this automatic windowing procedure is $S=2$. Other values for $S$ can be passed to the `gamma_method` as parameter.</span>