Usage: |
{fh, clo, cup} = denci(x {,h {,alpha {,K} {,d}}})
|
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]. If not given,
the Quartic kernel "qua" is used.
|
| d | scalar, discretization binwidth. d must be smaller
than h. If not given, the minimum of h/3 and
(max(x)-min(x))/100 is used.
|
Output: |
| fh | m x 2 matrix, the first column is a grid and the
second column contains the density estimate on
that grid. |
| clo | m x 2 matrix, the first column is a grid and the
second column contains the lower confidence
bounds for that grid. |
| cup | m x 2 matrix, the first column is a grid and the
second column contains the upper confidence
bounds for that grid. |