pNormal2D¶
- pNormal2D(x1, x2, rho, tail=False)¶
Cumulative distribution function of an 2D standard Normal distribution.
- Parameters:
- x1float
First component of .
- x2float,
Second component of .
- rhofloat
Correlation between the first and second margin.
- tailbool, optional
Tail flag. Default value is False. If True, the complementary CDF is computed.
- Returns:
- pfloat
The CDF or the complementary CDF at point .
Notes
The Normal distribution is bidimensional, centered and with a unit-variance.
Examples
>>> import openturns as ot >>> cdf = ot.DistFunc.pNormal2D(1.0, 1.0, 0.9) >>> cdf = ot.DistFunc.pNormal2D(1.0, 1.0, 0.9, True)