diff --git a/src/univariate.jl b/src/univariate.jl
index d9dae572..242f1a92 100644
--- a/src/univariate.jl
+++ b/src/univariate.jl
@@ -155,7 +155,7 @@ end
 	
 Kernel density estimation method. Returns 1D or 2D KDE object. The grid used and the values of the estimated density can be obtained from fields `.x` and `.density` respectively. To obtain kde values at points different than the initial grid use the `pdf` method.
 
-The optional keyword arguments are
+The keyword arguments are
 * `boundary`: the lower and upper limits of the kde, tuple in 1D case, tuple of tuples in 2D case, 
 * `npoints`: the number of interpolation points to use,
 * `kernel = Normal`: the distributional family from [Distributions.jl](https://github.com/JuliaStats/Distributions.jl),