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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
RandomGenerator.SetSeed(0)
try:
distribution = MeixnerDistribution(1.5, 0.5, 2.5, -0.5)
size = 10000
sample = distribution.getSample(size)
factory = MeixnerDistributionFactory()
covariance = CovarianceMatrix()
# Distribution estimatedDistribution(factory.build(sample, covariance))
estimatedDistribution = factory.build(sample)
print("Distribution =", distribution)
print("Estimated distribution=", estimatedDistribution)
# print "Covariance=", covariance
estimatedDistribution = factory.build()
print("Default distribution=", estimatedDistribution)
estimatedDistribution = factory.build(
distribution.getParameter())
print("Distribution from parameters=", estimatedDistribution)
estimatedMeixnerDistribution = factory.buildAsMeixnerDistribution(sample)
print("MeixnerDistribution =", distribution)
print("Estimated meixnerDistribution=", estimatedMeixnerDistribution)
estimatedMeixnerDistribution = factory.buildAsMeixnerDistribution()
print("Default meixnerDistribution=", estimatedMeixnerDistribution)
estimatedMeixnerDistribution = factory.buildAsMeixnerDistribution(
distribution.getParameter())
print("MeixnerDistribution from parameters=", estimatedMeixnerDistribution)
except:
import sys
print("t_MeixnerDistributionFactory_std.py",
sys.exc_info()[0], sys.exc_info()[1])
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