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Models where the least trimmed squares and least median of squares estimators are maximum likelihood

Berenguer-Rico, Vanessa; Johansen, Søren; Nielsen, Bent - 2019

Persistent link: https://www.econbiz.de/10012101101

Models where the least trimmed squares and least median of squares estimators are maximum likelihood

Berenguer-Rico, Vanessa; Johansen, Søren; Nielsen, Bent - 2019

Persistent link: https://www.econbiz.de/10012193987

Models where the Least Trimmed Squares and Least Median of Squares estimators are maximum likelihood

Berenguer-Rico, Vanessa; Johansen, Søren; Nielsen, Bent - 2019

Persistent link: https://www.econbiz.de/10012492559

Models where the Least Trimmed Squares and Least Median of Squares estimators are maximum likelihood

Berenguer-Rico, Vanessa; Johansen, Søren; Nielsen, Bent - 2019

Persistent link: https://www.econbiz.de/10012316436

Estimating the size of an object captured with error

Hamedović, Safet; Benšić, Mirta; Sabo, Kristian; … - In: Central European journal of operations research : CEJOR … 26 (2018) 3, pp. 771-781

Persistent link: https://www.econbiz.de/10011898552

Interval shrinkage estimation of the parameter of exponential distribution in the presence of outliers under loss functions

Nasiri, Parviz - In: Statistics in transition : an international journal of … 23 (2022) 3, pp. 65-78

In this paper, we studied estimators based on an interval shrinkage with equal weights point shrinkage estimators for all individual target points ¯θ ∈ (θ0,θ1) for exponentially distributed observations in the presence of outliers drawn from a uniform distribution. Estimators obtained from...

Persistent link: https://www.econbiz.de/10013428844