Estimating the width of a uniform distribution when data are measured with additive normal errors with known variance (CROSBI ID 125567)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Benšić, Mirta ; Sabo, Kristian
engleski
Estimating the width of a uniform distribution when data are measured with additive normal errors with known variance
The problem of estimating the width of the symmetric uniform distribution on the line when data are measured with normal additive error is considered. The main purpose is to discuss the efficiency of the maximum likelihood estimator and the moment method estimator. It is shown that the model is regular and that the maximum likelihood estimator is more efficient than the moment method estimator. A sufficient condition is also given for the existence of both estimators.
maximum likelihood estimator; method of moments estimator;
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano