Results 251 to 260 of about 354,947 (289)

Parameter Estimation in Nonlinear Regression

Calcutta Statistical Association Bulletin, 1990
ABSTRACT: A restriction generally imposed when proving consistency results in nonlinear regression is that the parameter space be compact. The authors relax this assumption; indeed, the parameter space includes all separable metric spaces. A nonlinear regression model having random regressors is studied.
Bhattacharyya, B. B., Richardson, G. D.
openaire   +1 more source

Efficient Estimators for Regressing Regression Coefficients

The American Statistician, 1974
A well-known formula for expressing a covariance in terms of variances is shown to hold true for estimating components ...
openaire   +1 more source

A robust Liu regression estimator

Communications in Statistics - Simulation and Computation, 2017
The least-squares regression estimator can be very sensitive in the presence of multicollinearity and outliers in the data. We introduce a new robust estimator based on the MM estimator.
Filzmoser, Peter, KURNAZ, Fatma Sevinç
openaire   +3 more sources

Debiased inverse-variance weighted estimator in two-sample summary-data Mendelian randomization

Annals of Statistics, 2021
Ting Ye, Jun Shao, Hyunseung Kang
exaly  

Regression Estimation

2014
Vladimir Spokoiny, Thorsten Dickhaus
openaire   +1 more source

Infrared small target detection via adaptive M-estimator ring top-hat transformation

Pattern Recognition, 2021
Lizhen Deng, Guoxia Xu, Hu Zhu
exaly  

Robust Sets of Regression Estimates

Econometrica, 1983
Gilstein, C Zachary, Leamer, Edward E
openaire   +1 more source

Matching As An Econometric Evaluation Estimator

Review of Economic Studies, 1998
Hidehiko Ichimura
exaly  

Regression Estimate

2005
openaire   +1 more source

Modified ridge‐type estimator to combat multicollinearity: Application to chemical data

Journal of Chemometrics, 2019
Adewale Folaranmi Lukman, Kayode Ayinde
exaly