Application of Local Rank Tests for Nonparametric Regression


Autoria(s): Dümbgen, Lutz
Data(s)

2002

Resumo

Let Y_i = f(x_i) + E_i\ (1\le i\le n) with given covariates x_1\lt x_2\lt \cdots\lt x_n , an unknown regression function f and independent random errors E_i with median zero. It is shown how to apply several linear rank test statistics simultaneously in order to test monotonicity of f in various regions and to identify its local extrema.

Formato

application/pdf

application/pdf

Identificador

http://boris.unibe.ch/73750/1/LocalRank.pdf

http://boris.unibe.ch/73750/8/10485250213903.pdf

Dümbgen, Lutz (2002). Application of Local Rank Tests for Nonparametric Regression. Journal of Nonparametric Statistics, 14(5), pp. 511-537. Taylor & Francis 10.1080/10485250213903 <http://dx.doi.org/10.1080/10485250213903>

doi:10.7892/boris.73750

info:doi:10.1080/10485250213903

urn:issn:1048-5252

Idioma(s)

eng

Publicador

Taylor & Francis

Relação

http://boris.unibe.ch/73750/

Direitos

info:eu-repo/semantics/openAccess

info:eu-repo/semantics/restrictedAccess

Fonte

Dümbgen, Lutz (2002). Application of Local Rank Tests for Nonparametric Regression. Journal of Nonparametric Statistics, 14(5), pp. 511-537. Taylor & Francis 10.1080/10485250213903 <http://dx.doi.org/10.1080/10485250213903>

Palavras-Chave #510 Mathematics
Tipo

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

PeerReviewed