AbstractThe Growth Curve model introduced by Potthoff and Roy [1] has provided a general format for a variety of growth and repeated measures studies. Statistical inference of this model has often been based on the analysis of covariance model (see e.g. [2], wherep measurements are partitioned into theq measurements of the main variables and onp − q covariables. Under the general unstructured model for covariance choosing the full set ofp − q covariables results the maximum likelihood estimates (ML) of the model parameters. However, in many practical situations a more efficient estimator can be obtained by choosing fewer covariables. In this paper we propose a computationally efficient method for choosing covariables. This procedure, which ...
Introduction In many practical situations, we are interested in the effect of covariates on correla...
Introduction In many practical situations, we are interested in the effect of covariates on correla...
We consider a priori reduction of the number of conditioning variables or covariates in the growth c...
The growth curve model introduced by Potthoff & Roy (1964) is a generalization of the multivaria...
AbstractThe Growth Curve model introduced by Potthoff and Roy [1] has provided a general format for ...
AbstractIn this paper we consider the problem of selecting the covariables within individuals in the...
In growth curve studies, measurements are made on individuals over a moderately large period of time...
The growth curve model (GCM) has been widely used in longitudinal studies and repeated measures. Mos...
IntroductionIn many practical situations, we are interested in the effect of covariates on correlate...
Model specification and selection are recurring themes in econometric analysis. Both topics become c...
Growth curve analysis is useful in studies with repeated measurements on experimental units. They en...
Growth curve analysis is useful in studies with repeated measurements on experimental units. They en...
Simulation was used to evaluate the performances of several methods of variable selection in regress...
Simulation was used to evaluate the performances of several methods of variable selection in regress...
In this paper, we consider the general growth curve model with multivariate random effects covarianc...
Introduction In many practical situations, we are interested in the effect of covariates on correla...
Introduction In many practical situations, we are interested in the effect of covariates on correla...
We consider a priori reduction of the number of conditioning variables or covariates in the growth c...
The growth curve model introduced by Potthoff & Roy (1964) is a generalization of the multivaria...
AbstractThe Growth Curve model introduced by Potthoff and Roy [1] has provided a general format for ...
AbstractIn this paper we consider the problem of selecting the covariables within individuals in the...
In growth curve studies, measurements are made on individuals over a moderately large period of time...
The growth curve model (GCM) has been widely used in longitudinal studies and repeated measures. Mos...
IntroductionIn many practical situations, we are interested in the effect of covariates on correlate...
Model specification and selection are recurring themes in econometric analysis. Both topics become c...
Growth curve analysis is useful in studies with repeated measurements on experimental units. They en...
Growth curve analysis is useful in studies with repeated measurements on experimental units. They en...
Simulation was used to evaluate the performances of several methods of variable selection in regress...
Simulation was used to evaluate the performances of several methods of variable selection in regress...
In this paper, we consider the general growth curve model with multivariate random effects covarianc...
Introduction In many practical situations, we are interested in the effect of covariates on correla...
Introduction In many practical situations, we are interested in the effect of covariates on correla...
We consider a priori reduction of the number of conditioning variables or covariates in the growth c...