Estimation of nuisance parameters for inference based on least absolute deviations

• Autorzy: Wojciech Niemiro
• Języki publikacji: EN

Abstrakty

EN

Statistical inference procedures based on least absolute deviations involve estimates of a matrix which plays the role of a multivariate nuisance parameter. To estimate this matrix, we use kernel smoothing. We show consistency and obtain bounds on the rate of convergence.

Słowa kluczowe

EN

least absolute deviations; kernel density/regression estimation

• Wydawca: Institute of Mathematics Polish Academy of Sciences
• Czasopismo: Applicationes Mathematicae
• Rocznik: 1993-1995
• Tom: 22
• Numer: 4
• Strony: 515-529

Daty

wydano

1995

otrzymano

1994-04-06

Twórcy

autor

Wojciech Niemiro

• Institute of Applied Mathematics, Warsaw University, Banacha 2, 02-097 Warszawa, Poland

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