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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
RandomGenerator.SetSeed(0)
try:
# NonCentralStudent related functions
# dNonCentralStudent
nuMin = 0.2
nuMax = 5.0
n1 = 5
deltaMin = 0.2
deltaMax = 5.0
n2 = 5
xMin = 0.1
xMax = 0.9
nX = 5
for i1 in range(n1):
nu = nuMin + (nuMax - nuMin) * i1 / (n1 - 1)
for i2 in range(n2):
delta = deltaMin + (deltaMax - deltaMin) * i2 / (n2 - 1)
for iX in range(nX):
x = xMin + (xMax - xMin) * iX / (nX - 1)
print("dNonCentralStudent(", nu, ", ", delta, ", %.12g" %
x, ")=%.6g" % DistFunc.dNonCentralStudent(nu, delta, x))
# pNonCentralStudent
nuMin = 0.2
nuMax = 5.0
n1 = 5
deltaMin = 0.2
deltaMax = 5.0
n2 = 5
xMin = 0.1
xMax = 0.9
nX = 5
for i1 in range(n1):
nu = nuMin + (nuMax - nuMin) * i1 / (n1 - 1)
for i2 in range(n2):
delta = deltaMin + (deltaMax - deltaMin) * i2 / (n2 - 1)
for iX in range(nX):
x = xMin + (xMax - xMin) * iX / (nX - 1)
print("pNonCentralStudent(", nu, ", ", delta, ", %.12g" % x, ")=%.6g" % DistFunc.pNonCentralStudent(
nu, delta, x), ", complementary=%.6g" % DistFunc.pNonCentralStudent(nu, delta, x, True))
# rNonCentralStudent
nuMin = 0.2
nuMax = 5.0
n1 = 5
deltaMin = 0.2
deltaMax = 5.0
n2 = 5
nR = 5
for i1 in range(n1):
nu = nuMin + (nuMax - nuMin) * i1 / (n1 - 1)
for i2 in range(n2):
delta = deltaMin + (deltaMax - deltaMin) * i2 / (n2 - 1)
for iR in range(nR):
print("rNonCentralStudent(", nu, ", ", delta, ")=%.6g" %
DistFunc.rNonCentralStudent(nu, delta))
except:
import sys
print("t_DistFunc_noncentralstudent.py",
sys.exc_info()[0], sys.exc_info()[1])
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