On the Inconsistency of the Ordinary Least Squares Estimator for Spatial Autoregressive Processes [PDF]
This paper investigates the asymptotic properties of the ordinary least squares estimator for spatial autoregressive models. We show that this estimator is biased as well as inconsistent for the parameters regardless of the distribution of the error term.
Agénor LAHATTE, Théophile AZOMAHOU
core
Improving the Ordinary Least Squares Estimator by Ridge Regression
openaire +1 more source
Ordinary least squares estimation of parameters of linear model
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Using Machine Learning to Improve Control for Confounding in the Dynamic Weighted Ordinary Least Squares Estimator of Optimal Adaptive Treatment Strategies. [PDF]
Trenou KC +5 more
europepmc +1 more source
On the mixed-model analysis of covariance in cluster-randomized trials. [PDF]
Wang B +5 more
europepmc +1 more source
Estimation of the transition rates in the illness-death model for chronic diseases from aggregated current status data: a feasibility and simulation study. [PDF]
Brinks R, Mohammadi Saem M, Voß S.
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A robust methodology for finite population mean estimation based on Generalized M estimation. [PDF]
Abuhasel KA.
europepmc +1 more source
Quantile Regression in Epidemiology: Capturing Heterogeneity Beyond the Mean. [PDF]
Gnardellis C.
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Inference on data with both multiplicative and additive measurement errors. [PDF]
Zong Y, Liu Y, Ma Y, Van Keilegom I.
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Evaluation of statistical methods in R for estimating intervention effects using segmented linear regression in the AB interrupted time series design. [PDF]
Pang J, Chen H, Valente MJ.
europepmc +1 more source

