Confidence intervals for kernel density estimation

Carlo V. Fiorio

doi:10.1177/1536867X0400400207

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Confidence intervals for kernel density estimation

2004-06-01

Carlo V. Fiorio *

DOI：10.1177/1536867X0400400207

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Abstract

En 中文

This article describes asciker and bsciker, two programs that enrich the possibility for density analysis using Stata. asciker and bsciker compute asymptotic and bootstrap confidence intervals for kernel density estimation, respectively, based on the theory of kernel density confidence intervals estimation developed in Hall (1992b) and Horowitz (2001). asciker and bsciker allow several options and are compatible with Stata 7 and Stata 8, using the appropriate graphics engine under both versions.

Keywords:

st0064

asciker

bsciker

vkdensity

kernel density asymptotic confidence intervals

kernel density bootstrap confidence intervals

asymptotic bias

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