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New multivariate central limit theorems in linear structural and functional error-in-variables models
explanatory variables domain of attraction of the normal law multivariate Student statistic positive definite matrix
2009/9/16
This paper deals simultaneously with linear structural and functional error-in-variables models (SEIVM and FEIVM), revisiting in this context generalized and modified least squares estimators of the s...
Central limit theorems in linear structural error-in-variables models with explanatory variables in the domain of attraction of the normal law
central limit theorem domain of attraction of the normal law large-sample approximate confidence interval self-normalization Studentization
2009/9/16
Linear structural error-in-variables models with univariate observations are revisited for studying modified least squares estimators of the slope and intercept. New marginal central limit theorems (C...
Central limit theorems in linear structural error-in-variables models with explanatory variables in the domain of attraction of the normal law
central limit theorem domain of attraction of the normal law explanatory variables large-sample approximate confidenceinterval
2010/4/29
Linear structural error-in-variables models with univariate observations
are revisited for studying modified least squares estimators of
the slope and intercept. New marginal central limit theorems ...