Publicação

A new class of boundary kernels for distribution function estimation

Detalhes bibliográficos
Resumo:	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.
Autores principais:	Tenreiro, Carlos
Outros Autores:	Cruz, Carlos Manuel Rebelo Tenreiro da; Tenreiro, Carlos; Tenreiro, C.; CMUC - Centre for Mathematics of the University of Coimbra; CMUC - Centre for Mathematics of the University of Coimbra; research; 0000-0002-5495-6644; 4D10-BC87-8AAD; 6603873558; staff; Associate Professor, Department of Mathematics, University of Coimbra. Member of the Centre for Mathematics of the University of Coimbra (CMUC). Research interests: Nonparametric inference; Kernel methods, Goodness-of-fit tests.
Assunto:	Distribution function estimation; kernel estimator; boundary kernels
Ano:	2018
País:	Portugal
Tipo de documento:	artigo
Tipo de acesso:	acesso aberto
Instituição associada:	Universidade de Coimbra
Idioma:	inglês
Origem:	Estudo Geral - Universidade de Coimbra

Descrição
Resumo:	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.