Add to ORKGDescription Performs linear regression with correlated predictors, responses and correlated measure-ment errors in predictors and responses, correcting for biased caused by these. Depends R(> = 2.9.1), mvtnorm, corpcor Suggests ape, mvSLOUCH, ouc
<p>Generalized Linear Mixed Model Regressions of SOURCE scales by respondent characteristic of prima...
Abstract. Generalized linear models with covariate measurement error can be estimated by maximum lik...
<p>Generalized Linear Models indicating the predictors for each measure of model performance.</p
Description Performs linear regression with correlated predictors, responses and correlated measure-...
We present data, both real and simulated, that show generalized least squares (GLS) estimation, inte...
This paper discusses and illustrates the method of regression calibration. This is a straightforward...
This paper investigates an one-step procedure for the General Least Squares Estimation (GLSE) in the...
PhDMathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.li...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
Cuando en un modelo de regresión existe un error de especificación debido a una variable excluida, l...
advantages of linear mixed models using generalized least squares (GLS) when analyzing repeated meas...
Estimation results for the ordinary least squares (OLS) model and the generalized linear mixed model...
This paper introduces additive measurement error in a generalized linear-model context. We discuss t...
Abstract. This paper discusses and illustrates the method of regression calibra-tion. This is a stra...
Estimates from GMM are shown in blue circles, and those of NL-LSQM are green squares and are plotted...
<p>Generalized Linear Mixed Model Regressions of SOURCE scales by respondent characteristic of prima...
Abstract. Generalized linear models with covariate measurement error can be estimated by maximum lik...
<p>Generalized Linear Models indicating the predictors for each measure of model performance.</p
Description Performs linear regression with correlated predictors, responses and correlated measure-...
We present data, both real and simulated, that show generalized least squares (GLS) estimation, inte...
This paper discusses and illustrates the method of regression calibration. This is a straightforward...
This paper investigates an one-step procedure for the General Least Squares Estimation (GLSE) in the...
PhDMathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.li...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
Cuando en un modelo de regresión existe un error de especificación debido a una variable excluida, l...
advantages of linear mixed models using generalized least squares (GLS) when analyzing repeated meas...
Estimation results for the ordinary least squares (OLS) model and the generalized linear mixed model...
This paper introduces additive measurement error in a generalized linear-model context. We discuss t...
Abstract. This paper discusses and illustrates the method of regression calibra-tion. This is a stra...
Estimates from GMM are shown in blue circles, and those of NL-LSQM are green squares and are plotted...
<p>Generalized Linear Mixed Model Regressions of SOURCE scales by respondent characteristic of prima...
Abstract. Generalized linear models with covariate measurement error can be estimated by maximum lik...
<p>Generalized Linear Models indicating the predictors for each measure of model performance.</p