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#! /usr/bin/env python
import openturns as ot
ot.TESTPREAMBLE()
# 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" % ot.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" % ot.DistFunc.pNonCentralStudent(nu, delta, x),
", complementary=%.6g"
% ot.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" % ot.DistFunc.rNonCentralStudent(nu, delta),
)
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