Exponential cumulative distribution function
___ = expcdf(___,'upper')
returns the
complement of the cdf, evaluated at the values in x
, using an
algorithm that more accurately computes the extreme upper-tail probabilities than
subtracting the lower tail value from 1. 'upper'
can follow any of the
input argument combinations in the previous syntaxes.
expcdf
is a function specific to the exponential
distribution. Statistics and Machine Learning Toolbox™ also offers the generic function cdf
, which supports various probability distributions. To use
cdf
, create an ExponentialDistribution
probability distribution object and pass the object
as an input argument or specify the probability distribution name and its parameters.
Note that the distribution-specific function expcdf
is faster
than the generic function cdf
.
Use the Probability Distribution Function app to create an interactive plot of the cumulative distribution function (cdf) or probability density function (pdf) for a probability distribution.