Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/80928
Title: | A new class of boundary kernels for distribution function estimation | Authors: | Tenreiro, Carlos | Keywords: | Distribution function estimation; kernel estimator; boundary kernels | Issue Date: | 2018 | Publisher: | Taylor & Francis | Project: | CMUC-UID/MAT/00324/2013 | Serial title, monograph or event: | Communications in Statistics - Theory and Methods | Volume: | 47 | Issue: | 21 | Abstract: | In this note we introduce a new class of boundary kernels for distribution function estimation which shows itself to be especially performing when the classical kernel distribution function estimator suffers from severe boundary problems. | URI: | https://hdl.handle.net/10316/80928 | DOI: | 10.1080/03610926.2017.1390131 | Rights: | openAccess |
Appears in Collections: | I&D CMUC - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
onbk-author's version.pdf | 234.91 kB | Adobe PDF | View/Open |
SCOPUSTM
Citations
1
checked on May 1, 2023
Page view(s)
373
checked on Sep 4, 2024
Download(s)
341
checked on Sep 4, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.