#! /usr/bin/env python

import openturns as ot

ot.TESTPREAMBLE()


distribution = ot.LogNormal(1.5, 2.5, -1.5)
size = 10000
sample = distribution.getSample(size)
print("distribution=", repr(distribution))
factory = ot.LogNormalFactory()
estimatedDistribution = factory.build(sample)
print("Estimated distribution=", repr(estimatedDistribution))
estimatedDistribution = factory.build(sample, 0)
print("Estimated distribution (local likelihood)=", repr(estimatedDistribution))
estimatedDistribution = factory.build(sample, 1)
print("Estimated distribution (modified moments)=", repr(estimatedDistribution))
estimatedDistribution = factory.build(sample, 2)
print("Estimated distribution (moments)=", repr(estimatedDistribution))
print("Estimated distribution (least squares)=", factory.build(sample, 3))
estimatedDistribution = factory.build()
print("Default distribution=", estimatedDistribution)
estimatedDistribution = factory.build(distribution.getParameter())
print("Distribution from parameters=", estimatedDistribution)
estimatedLogNormal = factory.buildAsLogNormal(sample)
print("LogNormal          =", distribution)
print("Estimated logNormal=", estimatedLogNormal)
estimatedLogNormal = factory.buildAsLogNormal()
print("Default logNormal=", estimatedLogNormal)
estimatedLogNormal = factory.buildAsLogNormal(distribution.getParameter())
print("LogNormal from parameters=", estimatedLogNormal)