Implementing semiparametric density estimation
Julian Faraway
Statistics & Probability Letters, 1990, vol. 10, issue 2, 141-143
Abstract:
A semiparametric estimate of a density may be formed via the convex combination of a parametric and a nonparametric density estimate. It is shown that the some trimming is often necessary to obtain an appropriate proportion of these estimates.
Keywords: Nonparametric; density; estimation; bandwidth; selection; trimming (search for similar items in EconPapers)
Date: 1990
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(90)90009-V
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:10:y:1990:i:2:p:141-143
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().