also apply the parameter rounding onto the per run block estimate.
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@ -2192,9 +2192,9 @@ Bool_t PFitter::ExecuteSave(Bool_t firstSave)
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std::vector<Double_t> chisqPerRun;
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for (UInt_t i=0; i<fRunInfo->GetMsrRunList()->size(); i++) {
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if (fUseChi2)
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chisqPerRun.push_back(fRunListCollection->GetSingleRunChisq(param, i));
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chisqPerRun.push_back(fRunListCollection->GetSingleRunChisq(par_r, i));
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else
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chisqPerRun.push_back(fRunListCollection->GetSingleRunMaximumLikelihood(param, i));
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chisqPerRun.push_back(fRunListCollection->GetSingleRunMaximumLikelihood(par_r, i));
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}
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if (totalExpectedChisq != 0.0) { // i.e. applicable for single histogram fits only
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