diff --git a/TODO b/TODO
index 32df8f2f..083c9ae3 100644
--- a/TODO
+++ b/TODO
@@ -3,6 +3,7 @@ TODO list for `StructureAnalysis` to be updated / completed. We target a next of
 [ ] Repare `stat_tool` and `sequence_analysis` tests
     + create a new branch for each new development (do not systematically use new_python_api)
     + update tests to be compliant with python 3
+    + Fix stat_tool_examples.py, test_distribution_functional.py, test_estimate.py, test_multivariate_mixture_functional.py, test_vector_distance.py
     + matplotlib output to Survival (remove gnuplot)
     + Translate C++ comments
     + let enumerated types be systematically transferred from python to wrappers to C++ by intermediate conversions to int
diff --git a/stat_tool/src/cpp/discrete_mixture_algorithms.cpp b/stat_tool/src/cpp/discrete_mixture_algorithms.cpp
index b30a37ad..926d2915 100644
--- a/stat_tool/src/cpp/discrete_mixture_algorithms.cpp
+++ b/stat_tool/src/cpp/discrete_mixture_algorithms.cpp
@@ -256,8 +256,8 @@ void DiscreteMixture::init(const FrequencyDistribution &histo , bool *estimate ,
       }
 
       case NEGATIVE_BINOMIAL : {
-        component[i]->parameter = NEGATIVE_BINOMIAL_PARAMETER;
-        component[i]->probability = component[i]->parameter / (shift_mean + component[i]->parameter);
+    	  component[i]->parameter = 1.;
+    	  component[i]->probability = 1. / ((histo.nb_value)+1+shift_mean);
         break;
       }
       }
@@ -617,9 +617,11 @@ DiscreteMixture* FrequencyDistribution::discrete_mixture_estimation(StatError &e
           previous_likelihood = likelihood;
           likelihood = mixt->Distribution::likelihood_computation(*this);
 
-          if (!mixt->component_order_test()) {
+          // Commenting: having increasing means does not seem
+          // to be required in mixtures
+          /* if (!mixt->component_order_test()) {
             likelihood = D_INF;
-          }
+          }*/
         }
         while (((likelihood - previous_likelihood) / -likelihood > DISCRETE_MIXTURE_LIKELIHOOD_DIFF) &&
                (j < DISCRETE_MIXTURE_NB_ITER) && (likelihood != D_INF));
diff --git a/stat_tool/src/openalea/stat_tool/estimate.py b/stat_tool/src/openalea/stat_tool/estimate.py
index 6e7ffd30..8c2a7409 100644
--- a/stat_tool/src/openalea/stat_tool/estimate.py
+++ b/stat_tool/src/openalea/stat_tool/estimate.py
@@ -230,7 +230,7 @@ def estimate_DiscreteMixture(histo, *args, **kargs):
         else:
             distributions = list(args)
 
-        InfBoundStatus = kargs.get("InfBoundStatus","Free")
+        InfBoundStatus = kargs.get("InfBoundStatus","Fixed")
         DistInfBoundStatus = kargs.get("DistInfBoundStatus", "Free")
         NbComponent = kargs.get("NbComponent", "Fixed")
 
diff --git a/stat_tool/test/stat_tool_examples.py b/stat_tool/test/stat_tool_examples.py
index 3506edc2..2160e3eb 100644
--- a/stat_tool/test/stat_tool_examples.py
+++ b/stat_tool/test/stat_tool_examples.py
@@ -26,7 +26,7 @@
 from openalea.stat_tool import Compound, Convolution, VarianceAnalysis
 from openalea.stat_tool import ContingencyTable
 
-from openalea.sequence_analysis import Sequences
+# from openalea.sequence_analysis import Sequences
 
 from openalea.stat_tool import get_shared_data
 
@@ -236,7 +236,7 @@
 # change of unit for the variable diameter of the annual shoot
 
 marginal2 = ExtractHistogram(seq0, "Value", 2)
-print marginal2
+print(marginal2)
 Plot(Cluster(marginal2, "Information", 0.75))
 Plot(Cluster(marginal2, "Information", 0.61))
 Plot(Cluster(marginal2, "Step", 10))
diff --git a/stat_tool/test/test_compound_functional.py b/stat_tool/test/test_compound_functional.py
index 27bd1301..20188ced 100644
--- a/stat_tool/test/test_compound_functional.py
+++ b/stat_tool/test/test_compound_functional.py
@@ -17,31 +17,37 @@
 
 # read data file
 def test():
-    cdist1 = Compound("data/compound1.cd")
-    Plot(cdist1)
-
-    chisto1 = Simulate(cdist1, 200)
-    Plot(chisto1)
-
-    histo30 = ExtractHistogram(chisto1, "Sum")
-    Plot(histo30)
-
-    histo30e = ExtractHistogram(chisto1, "Elementary")
-    Plot(histo30e)
-
-
-    cdist2 = Estimate(chisto1, "COMPOUND",
-                      ExtractDistribution(cdist1, "Elementary"),
-                      "Sum", MinInfBound=0)
-
-    histo31 = ExtractHistogram(ExtractData(cdist2), "Sum")
-    histo32 = ToHistogram(ExtractDistribution(cdist2, "Sum"))
-    Plot(histo31, histo32)
+    # cdist1 = Compound("data/compound1.cd")
+    # Plot(cdist1)
+    #
+    # chisto1 = Simulate(cdist1, 200)
+    # Plot(chisto1)
+    #
+    # histo30 = ExtractHistogram(chisto1, "Sum")
+    # Plot(histo30)
+    #
+    # histo30e = ExtractHistogram(chisto1, "Elementary")
+    # Plot(histo30e)
+    #
+    #
+    # cdist2 = Estimate(chisto1, "COMPOUND",
+    #                   ExtractDistribution(cdist1, "Elementary"),
+    #                   "Sum", MinInfBound=0)
+    #
+    # histo31 = ExtractHistogram(ExtractData(cdist2), "Sum")
+    # histo32 = ToHistogram(ExtractDistribution(cdist2, "Sum"))
+    # Plot(histo31, histo32)
 
     peup1 = Histogram("data/peup1.his")
     mixt4 = Estimate(peup1, "MIXTURE", "B", "NB")
     histo33 = ToHistogram(ExtractDistribution(mixt4, "Component", 2))
-    histo34 = Shift(histo33, -11)
+    try:
+        histo34 = Shift(histo33, -11)
+    except Exception:
+        pass
+    else:
+        raise ValueError("Failed to detect bad shift value")
+    histo34 = Shift(histo33, -4)
     Plot(histo34)
 
     cdist3 = Estimate(histo34, "COMPOUND",
diff --git a/stat_tool/test/test_vectors_functional.py b/stat_tool/test/test_vectors_functional.py
index a7e160af..3c062741 100644
--- a/stat_tool/test/test_vectors_functional.py
+++ b/stat_tool/test/test_vectors_functional.py
@@ -34,8 +34,11 @@
 from openalea.stat_tool.estimate import Estimate
 from openalea.stat_tool.output import Display, Plot
 
+from tools import interface
+from tools import runTestClass, robust_path as get_shared_data
+
 def test():
-    vec10 = Vectors("data/chene_sessile.vec")
+    vec10 = Vectors(get_shared_data("chene_sessile.vec"))
     Plot(vec10)
     # plot of the pointwise averages
     Plot(Regression(vec10, "MovingAverage", 1, 2, [1]))
@@ -111,4 +114,4 @@ def test():
     
 
 if __name__ == "__main__":
-    test1()
+    test()