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Probability distributions tutorials

Examples showing the available probability distributions in ROOT.

Files

file  pdf000_Laplace.C
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Test the TMath::LaplaceDist and TMath::LaplaceDistI functions
 
file  pdf001_Normal.C
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Tutorial illustrating the new statistical distributions functions (pdf, cdf and quantile)
 
file  pdf002_2d_pdf.C
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Example macro showing some major probability density functions in ROOT.
 
file  pdf002_2d_pdf.py
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Example macro showing some major probability density functions in ROOT.
 
file  pdf003_2d_cdf.C
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Example describing how to use the different cumulative distribution functions in ROOT.
 
file  pdf004_Binomial.C
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tutorial illustrating the use of TMath::Binomial can be run with:
 
file  pdf005_Beta.C
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Test the TMath::BetaDist and TMath::BetaDistI functions
 
file  pdf006_Gamma_LogNormal.C
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Tutorial illustrating the use of TMath::GammaDist and TMath::LogNormal
 
file  pdf007_multivarGaus.C
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Tutorial illustrating the multivariate gaussian random number generation
 
file  pdf008_BreitWigner.C
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Tutorial illustrating how to create a plot comparing a Breit Wigner to a Relativistic Breit Wigner
 
file  pdf009_Bessel.C
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Show the different kinds of Bessel functions available in ROOT To execute the macro type in:
 
file  pdf009_Bessel.py
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Show the different kinds of Bessel functions available in ROOT To execute the macro type in:
 
file  pdf010_CrystalBall.C
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Example of CrystalBall Function and its distribution (pdf and cdf)
 
file  pdf011_Student.C
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Tutorial illustrating the use of the Student and F distributions
 
file  pdf012_tStudent.C
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Example macro describing the student t distribution
 
file  pdf012_tStudent.py
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Example macro describing the student t distribution
 
file  pdf013_Vavilov.C
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Test of the TMath::Vavilov distribution