diff --git a/doc/v526/index.html b/doc/v526/index.html
index 56fd6c68cd442e8749e0acadae3b33b28bd83b7b..ab8d798825541927bbeaaa7bf9ddcb01b3a6d146 100644
--- a/doc/v526/index.html
+++ b/doc/v526/index.html
@@ -71,6 +71,7 @@ of version 5.16, 5.18, 5.20, 5.22 and version 5.24 in addition to these notes.</
<li><a href="#net"> <b>Networking</b></a> - network-related parts, e.g. protocols and authentication interfaces</li>
<li><a href="#proof"> <b>PROOF</b></a> - parallel ROOT facility</li>
<li><a href="#roofit"> <b>RooFit</b></a> - a fitting library</li>
+<li><a href="#roostats"> <b>RooStats</b></a> - a collection of statistical tools </li>
<li><a href="#sql"> <b>SQL</b></a> - database interfaces</li>
<li><a href="#tmva"> <b>TMVA</b></a> - multivariate analysis tools</li>
<li><a href="#tree"> <b>Trees</b></a> - ROOT's unique container class and related utilities</li>
@@ -107,14 +108,17 @@ Anar Manafov, GSI, <br/>
Lorenzo Moneta, CERN/SFT,<br/>
Axel Naumann, CERN/SFT,<br/>
Eddy Offermann, Renaissance, <br/>
+Danilo Piparo, Karlsruhe/CMS, RooStats,<br/>
Timur Pocheptsov, JINR/Dubna,<br/>
Fons Rademakers, CERN/SFT,<br/>
Philip Rodrigues, Oxford, Doc,<br/>
Paul Russo, FNAL, <br/>
+Gregory Schott, Karlsruhe/CMS, RooStats, <br/>
Tomasz Sosnicki, CERN/SFT summer student, <br/>
Joerg Stelzer, DESY/Atlas, TMVA <br/>
Matthew Strait, UMN.edu DOC <br/>
Alja Tadel, CERN/CMS, Eve <br/>
Matevz Tadel, CERN/Alice, Eve <br/>
-Wouter Verkerke, NIKHEF/Atlas, RooFit <br/>
+Wouter Verkerke, NIKHEF/Atlas, RooFit, <br/>
+Matthias Wolf, Karlsruhe/CMS, RooStats <br/>
</p>
diff --git a/roofit/doc/v526/index.html b/roofit/doc/v526/index.html
index a96c841055397d82f5e2c4e54324e72876df6f23..889b1ccbd50598896d5b1df6f327071a40ac1726 100644
--- a/roofit/doc/v526/index.html
+++ b/roofit/doc/v526/index.html
@@ -235,6 +235,9 @@ RooAddPdf::genmodel[ Nsig * sig + Nbkg * bkg ] = 0.502276
<a name="roostats"></a>
<h3>RooStats</h3>
+This release contains significant bug fixes and it is strongly
+reccomended to update to this version if using older ones.
+
<h4>Major Changes in LimitCalculator and HypoTestCalculator classes: usage of ModelConfig class</h4>
<ul>
@@ -246,8 +249,11 @@ function is introduced.
<br/>
</li>
<li>
-Users are supposed to pass all the model information using the <tt>ModelConfig</tt> class and not anymore via the <tt>RooWorkspace</tt>.
-Setter methods using pdf instances and parameter lists have been mantained in the derived classes, like the <tt>ProfileLikelihoodCalculator</tt> or the <tt>HybridCalculator</tt>, but those passing a string for the name of the pdf have been removed.
+Users are supposed to pass all the model information using the
+ <tt>ModelConfig</tt> class rather than via the
+ <tt>RooWorkspace</tt> or specifying directly the pdf and parameter
+ objects in the constructors.
+Setter methods using pdf instances and parameter lists are maintained in the derived classes, like the <tt>ProfileLikelihoodCalculator</tt> or the <tt>HybridCalculator</tt>, but those passing a string for the name of the pdf have been removed.
<br/>
</li>
<li>
@@ -257,49 +263,56 @@ needed information.
</ul>
-<h4>New class BayesianCalculator</h4>
+<h4>ProfileLikelihoodCalculator, LikelihoodInterval</h4>
<ul>
- <li>
-New class for calculating Bayesian interval using numerical integration. It implements the IntervalCalculator interface and returns as result a SimpleInterval.
-</li>
-<li>The <tt>BayesianCalculator::GetInterval()</tt> method returns a <tt>SimpleInterval</tt> which contains the lower and upper value of the bayesian interval obtained from the posterior probability for the given confidence level.</li>
-<li>The class return also the posterior pdf (<tt>BayesianCalculator::GetPosteriorPdf()</tt>) obtained from integrating (marginalizing) on the nuisance parameters.</li>
-<li>It works currently only for one-dimensional problems by relying on RooFit for performing analytical or numerical integration.</li>
-<li>A plot of the posterior and the desired interval can be obtained using <tt>BayesianCalculator::GetPosteriorPlot()</tt>.</li>
-<li>A new tutorial <tt>rs701_BayesianCalculator.C</tt> has been added in the <tt>tutorials/roostats</tt> directory to show the usage of this class.</li>
+ <li>The Minos algorithm of Minuit is used now to find the limit of the likelihood intervals instead of searching directly the roots of the RooProfileLL class. Minos is used via the <tt>ROOT::Math::Minimizer</tt> interface. By default TMinuit is used, one can also use Minuit2 by doing <tt>ROOT::Math::MinimizerOptions::SetDefaultMinimizer("Minuit2")</tt>.</li>
+ <li>The <tt>LikelihoodInterval</tt> class now provides now two new methods, <tt>FindLimits</tt> which finds both the upper and lower interval bounds, and <tt>GetContourPoints</tt> to find the 2D contour points defining the likelihood interval. GetContourPoints is now used by the LikelihoodIntervalPlot class to draw the 2D contour.
+ </li>
+ <li>New tutorials have been added: <tt>rs501_ProfileLikelihoodCalculator_limit.C</tt> and <tt>rs502_ProfileLikelihoodCalculator_significance.C</tt> for getting the interval limits and significance using the ProfileLikelihoodCalculator. The tutorials can be run on a set of Poisson data or Gaussian over flat with model considering optionally the nuisance parameters. The data can be generated with the <tt>rs500</tt> tutorials.</li>
</ul>
+ <h4>HybridCalculator</h4>
+<ul>
+ <li>In the constructor the signature passing a name and a title string has been removed, for being consistent with all the other calculator classes. Name and title can be set optionally using the SetName and SetTitle methods. Please note that this change is not backward compatible.</li>
+ <li>Add the option to use binned generation (via <tt>SetGenerateBinned</tt>).</li>
+ <li>An estimated of the error in the obtained p values is now computed in the <tt>HybridResult</tt> class thanks to Matthias Wolf. The errors can be obtained with <tt>HybridResult::CLbError()</tt>, <tt>HybridResult::CLsplusbError()</tt> or <tt>HybridResult::CLsError()</tt>.</li>
+ <li>A new tutorial has been added for showing the usage of the hybrid calculator: <tt>rs505_HybridCalculator_significance.C</tt></li>
+ </ul>
+
<h4>new class HypoTestInverter</h4>
<ul>
<li>
- New class for performing an hypothesis test inversion by scanning the hypothesis test results of the <tt>HybridCalculator</tt> for various values of the parameter of interest. By looking at the confidence level curve of the result an upper limit,
- where it intersects the desired confidence level,
-an upper limit can be derived.</li>
+ New class for performing an hypothesis test inversion by scanning
+ the hypothesis test results of the <tt>HybridCalculator</tt> for
+ various values of the parameter of interest. An upper (or lower) limit can be derived by looking at the
+ confidence level curve of the result as function of the parameter of
+ interest, where it intersects the desired confidence level.</li>
<li>
The class implements the <tt>IntervalCalculator</tt> interface and returns an <tt>HypoTestInverterResult</tt> class. The result is a SimpleInterval, which via the method <tt>UpperLimit</tt> returns to the user the upper limit value.
</li>
-<li>The <tt>HypoTestInverter</tt> implements various option for performing the scan. <tt>HypoTestInverter::RunFixedScan</tt> will scan using a fixed grid the parameter of interest. <tt>HypoTestInverter::RunAutoScan</tt> will perform an automatic scan to find optimally the curve and it will stop until the desired precision is obtained.
-The confidence level value at a given point can be done via <tt>HypoTestInverter::RunOnePoint</tt>.</li>
-<li>The class can scan the CLs+b values or alternativly CLs (if the method <tt>HypoTestInverter::UseCLs</tt> has been called).</li>
+<li>The <tt>HypoTestInverter</tt> implements various option for performing the scan. <tt>HypoTestInverter::RunFixedScan</tt> will scan using a fixed grid the parameter of interest. <tt>HypoTestInverter::RunAutoScan</tt> will perform an automatic scan to find optimally the curve and it will stop when the desired precision is obtained.
+The confidence level value at a given point can also be done via <tt>HypoTestInverter::RunOnePoint</tt>.</li>
+<li>The class can scan the CLs+b values (default) or alternatively CLs (if the
+method <tt>HypoTestInverter::UseCLs</tt> has been called).</li>
+<li>The estimated error due to the MC toys statistics from the <tt>HybridCalculator</tt> is propagated into the limits obtained from the <tt>HypoTestResult</tt>
<li>A new tutorial <tt>rs801_HypoTestInverter.C</tt> has been added in the <tt>tutorials/roostats</tt> directory to show the usage of this class.</li>
</ul>
-<h4>ProfileLikelihoodCalculator, LikelihoodInterval</h4>
+
+
+<h4>New class BayesianCalculator</h4>
<ul>
- <li>The Minos algorithm of Minuit is used now to find the limit of the likelihood intervals instead of searching directly the roots of the RooProfileLL class. Minos is used via the <tt>ROOT::Math::Minimizer</tt> interface. By default TMinuit is used, one can also use Minuit2 by doing <tt>ROOT::Math::MinimizerOptions::SetDefaultMinimizer("Minuit2")</tt>.</li>
- <li>The <tt>LikelihoodInterval</tt> class now provides now two new methods, <tt>FindLimits</tt> which finds both the upper and lower interval bounds, and <tt>GetContourPoints</tt> to find the 2D contour points defining the likelihood interval. GetContourPoints is now used by the LikelihoodIntervalPlot class to draw the 2D contour.
- </li>
- <li>New tutorials have been added: <tt>rs501_ProfileLikelihoodCalculator_limit.C</tt> and <tt>rs502_ProfileLikelihoodCalculator_significance.C</tt> for getting the interval limits and significance using the ProfileLikelihoodCalculator. The tutorials can be run on a set of Poison data or Gaussian over flat with model considering optionally the nuisance parameters. The data can be generated with the <tt>rs500</tt> tutorials.</li>
+ <li>
+New class for calculating Bayesian interval using numerical integration. It implements the IntervalCalculator interface and returns as result a SimpleInterval.
+</li>
+<li>The <tt>BayesianCalculator::GetInterval()</tt> method returns a <tt>SimpleInterval</tt> which contains the lower and upper value of the bayesian interval obtained from the posterior probability for the given confidence level.</li>
+<li>The class return also the posterior pdf (<tt>BayesianCalculator::GetPosteriorPdf()</tt>) obtained from integrating (marginalizing) on the nuisance parameters.</li>
+<li>It works currently only for one-dimensional problems by relying on RooFit for performing analytical or numerical integration.</li>
+<li>A plot of the posterior and the desired interval can be obtained using <tt>BayesianCalculator::GetPosteriorPlot()</tt>.</li>
+<li>A new tutorial <tt>rs701_BayesianCalculator.C</tt> has been added in the <tt>tutorials/roostats</tt> directory to show the usage of this class.</li>
</ul>
-
- <h4>HybridCalculator</h4>
-<ul>
- <li>In the constructor the signature passing a name and a title string has been removed, for being consistent with all the other calculator classes. Name and titile can be set optionally using the SetName and SetTitle methods. Please note that this change is not backward compatible.</li>
- <li>Add the option to use binned generation (via <tt>SetGenerateBinned</tt>).</li>
- <li>An estimated of the error in the obtained p values is now computed in the <tt>HybridResult</tt> class thanks to Matthias Wolf. The errors can be obtained with <tt>HybridResult::CLbError()</tt>, <tt>HybridResult::CLsplusbError()</tt> or <tt>HybridResult::CLsError()</tt>.</li>
- <li>A new tutorial has been added for showing the usage of the hybrid calculator: <tt>rs505_HybridCalculator_significance.C</tt></li>
- </ul>
+
<h4>MCMCCalculator</h4>