Ktool: Difference between revisions
Jump to navigation
Jump to search
imported>Jeremy (Importing text file) |
imported>Jeremy (Importing text file) |
||
| Line 12: | Line 12: | ||
Investigate density estimates interactively with various kernel density estimates. Kernel densities are calculated using the kernel with an overlaid best-fit density. | Investigate density estimates interactively with various kernel density estimates. Kernel densities are calculated using the kernel with an overlaid best-fit density. | ||
==== | ====Inputs==== | ||
* '''x''' = matrix (column vector) in which the sample data is stored. | * '''x''' = matrix (column vector) in which the sample data is stored. | ||
==== | ====Outputs==== | ||
* '''No''' outputs. | * '''No''' outputs. | ||
Revision as of 16:34, 3 September 2008
Purpose
GUI tool for investigating the kernel density of a sample.
Synopsis
- ktool(x)
Description
Investigate density estimates interactively with various kernel density estimates. Kernel densities are calculated using the kernel with an overlaid best-fit density.
Inputs
- x = matrix (column vector) in which the sample data is stored.
Outputs
- No outputs.
Examples
Note: If a sample contains all negative values, then some of the overlay distributions will not be drawn as they are not applicable. If only some of the sample is made up of negative values, these values are ignored in obtaining the maximum likelihood estimates and subsequent results.