Difference between revisions of "Smooth PDF plots using Kernel Density Estimation"

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=== Example model ===
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| [[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

Analytica's built-in PDF plot with default settings
PDF computed from Kernel Density estimation

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

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