Add to ORKGIn many situations, data follow a generalized linear model in which the mean of the responses is modelled, through a link function, linearly on the covariates. Robust estimators for the regression parameter in order to build test statistics for this parameter, when missing data occur in the responses, are considered. The asymptotic behaviour of the robust estimators for the regression parameter is obtained, under the null hypothesis and under contiguous alternatives. This allows us to derive the asymptotic distribution of the robust Wald-type test statistics constructed from the proposed estimators. The influence function of the test statistics is also studied. A simulation study allows us to compare the behaviour of the classical a...
In this paper, we propose robust estimation of the generalised partial linear model with covariates ...
High breakdown point, bounded influence and high efficiency at the Gaussian model are desired proper...
In this paper, we consider partially linear models in the form Y = XTβ + ν(Z) + ε when the response ...
El modelo lineal es uno de los más populares en Estadística. Sin embargo, en muchas situaciones la n...
We consider robust testing on the regression parameter of a partially linear regression model, where...
When dealing with situations in which the responses are discrete or show some type of asymmetry, the...
In many situations, data follow a generalized partly linear model in which the mean of the responses...
In this paper, we introduce a family of robust statistics which allow to decide between a parametri...
Generalized Linear Models extends classical regression models to non-normal response variables and a...
In the framework of generalized linear models, the nonrobustness of classical estimators and tests f...
AbstractIn the framework of generalized linear models, the nonrobustness of classical estimators and...
In this paper, we introduce a family of robust statistics which allow to decide between a parametric...
In this paper we propose a family of robust estimators for generalized linear models. The basic idea...
By starting from a natural class of robust estimators for generalized linear models based on the not...
By starting from a natural class of robust estimators for generalized linear models based on the not...
In this paper, we propose robust estimation of the generalised partial linear model with covariates ...
High breakdown point, bounded influence and high efficiency at the Gaussian model are desired proper...
In this paper, we consider partially linear models in the form Y = XTβ + ν(Z) + ε when the response ...
El modelo lineal es uno de los más populares en Estadística. Sin embargo, en muchas situaciones la n...
We consider robust testing on the regression parameter of a partially linear regression model, where...
When dealing with situations in which the responses are discrete or show some type of asymmetry, the...
In many situations, data follow a generalized partly linear model in which the mean of the responses...
In this paper, we introduce a family of robust statistics which allow to decide between a parametri...
Generalized Linear Models extends classical regression models to non-normal response variables and a...
In the framework of generalized linear models, the nonrobustness of classical estimators and tests f...
AbstractIn the framework of generalized linear models, the nonrobustness of classical estimators and...
In this paper, we introduce a family of robust statistics which allow to decide between a parametric...
In this paper we propose a family of robust estimators for generalized linear models. The basic idea...
By starting from a natural class of robust estimators for generalized linear models based on the not...
By starting from a natural class of robust estimators for generalized linear models based on the not...
In this paper, we propose robust estimation of the generalised partial linear model with covariates ...
High breakdown point, bounded influence and high efficiency at the Gaussian model are desired proper...
In this paper, we consider partially linear models in the form Y = XTβ + ν(Z) + ε when the response ...