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Asymptotic behavior of robust estimators in partially linear models with missing responses: The effect of estimating the missing probability on the simplified marginal estimators
(Springer, 2011-11)
In this paper, we consider a semiparametric partially linear regression model where missing data occur in the response. We derive the asymptotic behavior of the robust estimators for the regression parameter and of the ...
Constraints implementation for IQML and mode direction-of-arrival estimators
(2000-12-01)
The iterative quadratic maximum likelihood IQML and the method of direction estimation MODE are well known high resolution direction-of-arrival DOA estimation methods. Their solutions lead to an optimization problem with ...
Constraints implementation for IQML and mode direction-of-arrival estimators
(2000-12-01)
The iterative quadratic maximum likelihood IQML and the method of direction estimation MODE are well known high resolution direction-of-arrival DOA estimation methods. Their solutions lead to an optimization problem with ...
A two-step estimation procedure for locally stationary ARMA processes with tempered stable innovations
(2023-03)
The class of locally stationary processes assumes a time-varying (tv) spectral representation and finite second moment. Different areas have observed phenomena with heavy tail distributions or infinite variance. Using ...
A neural network approach for robust nonlinear parameter estimation in presence of unknown-but-bounded errors
(Elsevier B.V., 2000-01-01)
Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. This paper presents a ...
Application of natural computing algorithms to maximum likelihood estimation of direction of arrival
(Elsevier Science BvAmsterdamHolanda, 2012)
A new projection estimate for multivariate location with minimax bias
(Elsevier Inc, 2010-07)
The maximum asymptotic bias of an estimator is a global robustness measure of its performance. The projection median estimator for multivariate location shows a remarkable behavior regarding asymptotic bias. In this paper ...
Multiple robust estimation of marginal structural mean models for unconstrained outcomes
(Wiley Blackwell Publishing, Inc, 2019-03)
We consider estimation, from longitudinal observational data, of the parameters of marginal structural mean models for unconstrained outcomes. Current proposals include inverse probability of treatment weighted and double ...
Initial robust estimation in generalized linear models
(Elsevier Science, 2019-06)
Generalized Linear Models are routinely used in data analysis. Classical estimators are based on the maximum likelihood principle and it is well known that the presence of outliers can have a large impact on them. Several ...