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A review on robust M-estimators for regression analysis
Computers and Chemical Engineering, 2021J C Pinto, A R Secchi
exaly
Robust Sets of Regression Estimates
Econometrica, 1983Gilstein, C Zachary, Leamer, Edward E
openaire +1 more source
On adaptive estimation in nonlinear regression
Kybernetika, 1994Summary: To study adaptive estimators for the regression parameter we embed the usual nonlinear regression model in a semiparametric one. The parameter of interest is the finite dimensional regression parameter and the unknown density of the error distribution is the infinite dimensional nuisance parameter.
openaire +2 more sources
On Estimates of Regression Coefficients
Theory of Probability & Its Applications, 1969openaire +2 more sources
Developing robust ridge estimators for Poisson regression model
Concurrency Computation Practice and Experience, 2022Mohamed R Abonazel, Issam Dawoud
exaly
A Class of Biased Estimators in Linear Regression
Technometrics, 1976R R Hocking
exaly +2 more sources
A Note on Estimating the Variance of the Regression Estimator
Biometrika, 1992openaire +1 more source
Developing a Liu-type estimator in beta regression model
Concurrency Computation Practice and Experience, 2022Mohamed R Abonazel +1 more
exaly
A simulation study of ridge and other regression estimators
Communications in Statistics - Theory and Methods, 1976J F Lawless
exaly
Linearized Ridge Regression Estimator in Linear Regression
Communications in Statistics - Theory and Methods, 2011Xuqing Liu
exaly

