Statistics: unifinv

### Function Reference: `unifinv`

statistics: x = unifinv (p, a, b)

Inverse of the continuous uniform cumulative distribution function (iCDF).

For each element of p, compute the quantile (the inverse of the CDF) 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 x is the common size of p, 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, unifpdf, unifrnd, unifit, unifstat

Source Code: unifinv

### Example: 1

     ## Plot various iCDFs from the continuous uniform distribution
     p = 0.001:0.001:0.999;
     x1 = unifinv (p, 2, 5);
     x2 = unifinv (p, 3, 9);
     plot (p, x1, "-b", p, x2, "-g")
     grid on
     xlim ([0, 1])
     ylim ([0, 10])
     legend ({"a = 2, b = 5", "a = 3, b = 9"}, "location", "northwest")
     title ("Continuous uniform iCDF")
     xlabel ("probability")
     ylabel ("values in x")