Statistics: unifpdf

### Function Reference: `unifpdf`

statistics: y = unifpdf (x, a, b)

Continuous uniform probability density function (PDF).

For each element of x, compute the probability density function (PDF) of the continuous uniform distribution with parameters a and b, which define the lower and upper bounds of the interval `[a, b]`. The size of y is the common size of x, a, and b. A scalar input functions as a constant matrix of the same size as the other inputs.

Further information about the continuous uniform distribution can be found at https://en.wikipedia.org/wiki/Continuous_uniform_distribution

See also: unifcdf, unifinv, unifrnd, unifit, unifstat

Source Code: unifpdf

### Example: 1

     ## Plot various PDFs from the continuous uniform distribution
     x = 0:0.001:10;
     y1 = unifpdf (x, 2, 5);
     y2 = unifpdf (x, 3, 9);
     plot (x, y1, "-b", x, y2, "-g")
     grid on
     xlim ([0, 10])
     ylim ([0, 0.4])
     legend ({"a = 2, b = 5", "a = 3, b = 9"}, "location", "northeast")
     title ("Continuous uniform PDF")
     xlabel ("values in x")
     ylabel ("density")