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Strichartz Estimates for the Schrödinger Equation
(Universidad de La Frontera. Departamento de Matemática y EstadísticaUniversidade Federal de Pernambuco. Departamento de Matemática, 2010)
Statistical Models for Small Area Estimation
(CIMAT, 2014)
On using transmission overhead efficiently for channel estimation in OFDM
(IEEE, 2010)
The limited time available for acquiring the channel state in mobile broadband wireless communication systems makes it crucial to count with channel estimation methods that attain the highest accuracy with a given preamble ...
Robust estimators for generalized linear models
(Elsevier Science, 2014-03)
In this paper we propose a family of robust estimators for generalized linear models. The basic idea is to use an M-estimator after applying a variance stabilizing transformation to the response. We show the consistency ...
Estimação robusta de processos ARFIMA
(Universidade Federal de Minas GeraisUFMG, 2011-08-31)
This document focus on the study of methodologies used for estimating the long memory parameter in ARFIMA processes contaminated by atypical data. The suggested methodologies are based on robust estimators for the spectrum ...
A new approach for biased affine estimation
(IEEE, 2014)
The problem of biased affine estimation is discussed in the present paper. Affine estimation is a technique for improving parameter estimation through the inclusion of a-priori information in a non-bayesian setting. Here, ...
Inference in a linear functional relationship with replications
(Brazilian Statistical Association, 2021)
© Brazilian Statistical Association, 2021.In this paper, we consider a model for data analysis with measurement errors. The main objective of this work is to develop statistical inference tools, such as parameter estimation ...
Improving the threshold performance of maximum likelihood estimation of direction of arrival
(Elsevier Science BvAmsterdamHolanda, 2010)
On a robust local estimator for the scale function in heteroscedastic nonparametric regression
(Elsevier Science, 2010-08)
When the data used to fit an heteroscedastic nonparametric regression model are contaminated with outliers, robust estimators of the scale function are needed in order to obtain robust estimators of the regression function ...