Usage: |
{fh, clo, cup} = denxcb(x {,h {,alpha {,K} {,xv}}})
|
Input: |
| x | n x 1 vector, the data.
|
| h | scalar, bandwidth. If not given, the rule of
thumb bandwidth computed by denrot is used
(Silverman's rule of thumb).
|
| alpha | confidence level, If not given, 0.05 is used.
|
| K | string, kernel function on [-1,1] with
K(-1)=K(1)=0. If not given, the Quartic kernel
"qua" is used.
|
| xv | m x 1, values of the independent variable on
which to compute the density estimate. If not given,
x is used.
|
Output: |
| fh | n x 2 or m x 2 matrix, the first column is the
sorted first column of x or the sorted xv, the
second column contains the density estimate on
on the values of the first column. |
| clo | n x 2 or m x 2 matrix, the first column is the
sorted first column of x or the sorted xv, the
second column contains the lower confidence
bounds on the values of the first column. |
| cup | n x 2 or m x 2 matrix, the first column is the
sorted first column of x or the sorted xv, the
second column contains the upper confidence
bounds on the values of the first column. |