DOIAbstract
summary:Asymptotic normality of the least trimmed squares estimator is proved under general conditions. At the end of paper a discussion of applicability of the estimator (including the discussion of algorithm for its evaluation) is offered
summary:Asymptotic normality of the least trimmed squares estimator is proved under general conditions. At the end of paper a discussion of applicability of the estimator (including the discussion of algorithm for its evaluation) is offered
In this paper we study the asymptotic normality in high-dimensional linear regression. We focus on t...
This thesis deals with asymptotic properties of least squares estimators of regression coefficients ...
The least trimmed squares (LTS) estimator and the trimmed mean (TM) are two well-known trimming-base...
summary:Asymptotic normality of the least trimmed squares estimator is proved under general conditio...
summary:The consistency of the least trimmed squares estimator (see Rousseeuw [Rous] or Hampel et al...
The consistency and the asymptotic normality of the least weighted squares is proved and its asympto...
summary:The present paper deals with least weighted squares estimator which is a robust estimator an...
summary:$\sqrt{n}$-consistency of the least trimmed squares estimator is proved under general condit...
This diploma thesis dissertate about consistency and asymptotic representation of the least weighted...
Instead of minimizing the sum of all $n$ squared residuals as the classical least squares (LS) does,...
summary:From the practical point of view the regression analysis and its Least Squares method is cle...
summary:A robust version of the Ordinary Least Squares accommodating the idea of weighting the order...
AbstractThe paper uses empirical process techniques to study the asymptotics of the least-squares es...
We consider least squares estimators of the finite dimensional regression parameter $\alpha$ in the ...
The famous Durbin-Watson statistic is studied for the residuals from the least trimmed squared regre...
In this paper we study the asymptotic normality in high-dimensional linear regression. We focus on t...
This thesis deals with asymptotic properties of least squares estimators of regression coefficients ...
The least trimmed squares (LTS) estimator and the trimmed mean (TM) are two well-known trimming-base...
summary:Asymptotic normality of the least trimmed squares estimator is proved under general conditio...
summary:The consistency of the least trimmed squares estimator (see Rousseeuw [Rous] or Hampel et al...
The consistency and the asymptotic normality of the least weighted squares is proved and its asympto...
summary:The present paper deals with least weighted squares estimator which is a robust estimator an...
summary:$\sqrt{n}$-consistency of the least trimmed squares estimator is proved under general condit...
This diploma thesis dissertate about consistency and asymptotic representation of the least weighted...
Instead of minimizing the sum of all $n$ squared residuals as the classical least squares (LS) does,...
summary:From the practical point of view the regression analysis and its Least Squares method is cle...
summary:A robust version of the Ordinary Least Squares accommodating the idea of weighting the order...
AbstractThe paper uses empirical process techniques to study the asymptotics of the least-squares es...
We consider least squares estimators of the finite dimensional regression parameter $\alpha$ in the ...
The famous Durbin-Watson statistic is studied for the residuals from the least trimmed squared regre...
In this paper we study the asymptotic normality in high-dimensional linear regression. We focus on t...
This thesis deals with asymptotic properties of least squares estimators of regression coefficients ...
The least trimmed squares (LTS) estimator and the trimmed mean (TM) are two well-known trimming-base...
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