Difference between revisions of "Smooth PDF plots using Kernel Density Estimation"
(Created page with ":{| border="0" | frame|Analytica's built-in PDF plot with default settings | image:Dens_Est_Kernel_pdf.png|frame|PDF computed from Kernel...") |
|||
Line 1: | Line 1: | ||
+ | [[Category: Examples]] | ||
+ | === Example model === | ||
+ | |||
:{| border="0" | :{| border="0" | ||
| [[image:Dens_Est_builtin_pdf.png|frame|Analytica's built-in PDF plot with default settings]] | | [[image:Dens_Est_builtin_pdf.png|frame|Analytica's built-in PDF plot with default settings]] |
Latest revision as of 08:24, 17 January 2023
Example model
Description: This example demonstrates a very simple fixed-width kernel density estimator to estimate a "smooth" probability density. The built-in PDF function in Analytica often has a choppy appearance due to the nature of histogramming -- it sets up a set of bins and counts how many points land in each bin. A kernel density estimator smooths this out, producing a less choppy PDF plot.
This smoothing is built into Analytica 4.4. You can select smoothing from the Uncertainty Setup dialog.
Keywords: Kernel density estimation, kernel density smoothing
Author: D. Rice, Lumina Decision Systems
Download: Kernel Density Estimation.ana
Comments
Enable comment auto-refresher