Function Reference: exppdf
- statistics: y = exppdf (x)
- statistics: y = exppdf (x, mu)
Exponential probability density function (PDF).
For each element of x, compute the probability density function (PDF) of the exponential distribution with mean parameter mu. The size of y is the common size of x and mu. A scalar input functions as a constant matrix of the same size as the other inputs.
Default value for mu = 1.
A common alternative parameterization of the exponential distribution is to use the parameter defined as the mean number of events in an interval as opposed to the parameter , which is the mean wait time for an event to occur. and are reciprocals, i.e. .
Further information about the exponential distribution can be found at https://en.wikipedia.org/wiki/Exponential_distribution
See also: expcdf, expinv, exprnd, expfit, explike, expstat
Source Code: exppdf
Example: 1
## Plot various PDFs from the exponential distribution
x = 0:0.01:5;
y1 = exppdf (x, 2/3);
y2 = exppdf (x, 1.0);
y3 = exppdf (x, 2.0);
plot (x, y1, "-b", x, y2, "-g", x, y3, "-r")
grid on
ylim ([0, 1.5])
legend ({"μ = 2/3", "μ = 1", "μ = 2"}, "location", "northeast")
title ("Exponential PDF")
xlabel ("values in x")
ylabel ("density")
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