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# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
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# distributed under the License is distributed on an "AS IS" BASIS,
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# Special case for large degrees of freedom is the standard normal distribution
parameters = Infinity
mean = 0
variance = 1
# normcdf/normpdf/normpdf('upper') computed using matlab
cdf.points = \
  -2, -1, 0, 1, 2, 3, 4, 5
cdf.values = \
  0.022750131948179219 \
  0.15865525393145707 \
  0.5 \
  0.84134474606854293 \
  0.97724986805182079 \
  0.9986501019683699 \
  0.99996832875816688 \
  0.99999971334842808
pdf.values = \
  0.053990966513188063 \
  0.24197072451914337 \
  0.3989422804014327 \
  0.24197072451914337 \
  0.053990966513188063 \
  0.0044318484119380075 \
  0.00013383022576488537 \
  1.4867195147342979e-06
sf.values = \
  0.97724986805182079 \
  0.84134474606854293 \
  0.5 \
  0.15865525393145707 \
  0.022750131948179219 \
  0.0013498980316300957 \
  3.1671241833119965e-05 \
  2.866515718791946e-07

# Overridden tolerances
cdf.mapping.relative = 2e-15
sf.mapping.relative = 2e-15
