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A Poisson ridge regression estimator
Economic Modelling, 2011The standard statistical method for analyzing count data is the Poisson regression model, which is usually estimated using maximum likelihood (ML) method.
MÃ¥nsson, Kristofer, Shukur, Ghazi
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ADAPTIVE ESTIMATION IN LINEAR REGRESSION
Statistics & Risk Modeling, 1983Consider linear regression models \(Y_{ni}=X_{ni}\beta +Z_i\), \(1\leq i\leq n,\ n=1,2,3,\ldots\), where \(Z_1, \ldots, Z_n\) are iid random errors with common absolutely continuous density \(f\), \(X_{n1}, \ldots, X_{nn}\) are the known design variables, not all constant, and \(\beta\) is the real regression parameter. Developing the work of \textit{C.
Koul, H. L., Susarla, V.
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Parameter Estimation in Nonlinear Regression
Calcutta Statistical Association Bulletin, 1990ABSTRACT: 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.
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Efficient Estimators for Regressing Regression Coefficients
The American Statistician, 1974A well-known formula for expressing a covariance in terms of variances is shown to hold true for estimating components ...
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A robust Liu regression estimator
Communications in Statistics - Simulation and Computation, 2017The 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
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Robust Sets of Regression Estimates
Econometrica, 1983Gilstein, C Zachary, Leamer, Edward E
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Salvaging building materials in a circular economy: A BIM-based whole-life performance estimator
Resources, Conservation and Recycling, 2018Lukumon O Oyedele, Olugbenga O Akinade
exaly

