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