We introduce a special correlation structure in the growth curve model, which can be viewed as a transition between the serial and the uniform correlation structure. Estimators of unknown variance parameters are derived.</p
The problem of estimating the parameters of several growth curves has been considered for the case w...
Growth curve analysis is useful in studies with repeated measurements on experimental units. They en...
In this paper we consider maximum likelihood analysis of generalized growth curve model with the Box...
We introduce a special correlation structure in the growth curve model, which can be viewed as a tra...
ABSTRACT. The properties of estimators of variance components, mainly their behaviour when normality...
AbstractStandard and extended growth curve model (multivariate linear model) with practically import...
textThis simulation study examined the performance of the curve-of-factors growth model when serial...
The growth curve model (GCM) has been widely used in longitudinal studies and repeated measures. Mos...
In this paper, we consider the general growth curve model with multivariate random effects covarianc...
Random coefficient linear regression models have been employed in economics, medical and psychologic...
Growth-curve models are generalized multivariate analysis-of-variance models. The basic idea of the ...
Growth-curve models are generalized multivariate analysis-of-variance models. These models are espec...
The analysis of growth curve data is of wide practical importance. In this thesis we consider aspect...
Growth measurements of children, such as weight and height, are monitored regularly, particularly in...
<p>Latent Growth Curve Model: Parameter Estimates for Intercepts, Slopes and Correlations of Slopes ...
The problem of estimating the parameters of several growth curves has been considered for the case w...
Growth curve analysis is useful in studies with repeated measurements on experimental units. They en...
In this paper we consider maximum likelihood analysis of generalized growth curve model with the Box...
We introduce a special correlation structure in the growth curve model, which can be viewed as a tra...
ABSTRACT. The properties of estimators of variance components, mainly their behaviour when normality...
AbstractStandard and extended growth curve model (multivariate linear model) with practically import...
textThis simulation study examined the performance of the curve-of-factors growth model when serial...
The growth curve model (GCM) has been widely used in longitudinal studies and repeated measures. Mos...
In this paper, we consider the general growth curve model with multivariate random effects covarianc...
Random coefficient linear regression models have been employed in economics, medical and psychologic...
Growth-curve models are generalized multivariate analysis-of-variance models. The basic idea of the ...
Growth-curve models are generalized multivariate analysis-of-variance models. These models are espec...
The analysis of growth curve data is of wide practical importance. In this thesis we consider aspect...
Growth measurements of children, such as weight and height, are monitored regularly, particularly in...
<p>Latent Growth Curve Model: Parameter Estimates for Intercepts, Slopes and Correlations of Slopes ...
The problem of estimating the parameters of several growth curves has been considered for the case w...
Growth curve analysis is useful in studies with repeated measurements on experimental units. They en...
In this paper we consider maximum likelihood analysis of generalized growth curve model with the Box...