Execution Time1.35s

Test: tutorial-math-Rolke (Passed)
Build: PR-4830-x86_64-centos7-gcc48-opt (olhswep22.cern.ch) on 2020-01-22 10:58:39

Test Timing: Passed
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Test output
Processing /data/sftnight/workspace/root-pullrequests-build/root/tutorials/math/Rolke.C...

 ======================================================== 
For model 1: Poisson / Binomial
the Profile Likelihood interval is :
[0,11.5943]

 ======================================================== 
For model 2 : Poisson / Gaussian
the Profile Likelihood interval is :
[3.88417,18.4584]

 ======================================================== 
For model 3 : Gaussian / Gaussian
the Profile Likelihood interval is :
[0,17.5005]
***************************************
* some more example's for gauss/gauss *
*                                     *
sensitivity:
[0.00213408,9.0817]
median limit:
[0,9.21861] @ x =5
ML limit:
[0,9.21861] @ x =5
sensitivity:
[0.00213408,18.3004]
the Profile Likelihood interval is :
[0,17.5005]
critical number: 13
critical number for 5 sigma: 21
***************************************

 ======================================================== 
For model 4 : Poissonian / Known
the Profile Likelihood interval is :
[0,4.08807]

 ======================================================== 
For model 5 : Gaussian / Known
the Profile Likelihood interval is :
[0,4.91504]

 ======================================================== 
For model 6 : Known / Binomial
the Profile Likelihood interval is :
[11.4655,36.3035]

 ======================================================== 
For model 7 : Known / Gaussian 
the Profile Likelihood interval is :
[0,20.1747]
Example of the effect of bounded vs unbounded, For model 1
the BOUNDED Profile Likelihood interval is :
[0,1.1729]
the UNBOUNDED Profile Likelihood interval is :
[0,0.936334]