DOIAbstract
Growth curve model, serial covariance structure, uniform covariance structure, mean squared error, conditional prediction, extended prediction,
Growth curve model, serial covariance structure, uniform covariance structure, mean squared error, conditional prediction, extended prediction,
AbstractEstimation of parameters in the classical Growth Curve model, when the covariance matrix has...
Estimation of parameters in the classical Growth Curve model when the covariance matrix has some spe...
<p>Growth curve model-predicted resilience mean values for the different assessments of treatment an...
The growth curve model (GCM) has been widely used in longitudinal studies and repeated measures. Mos...
The problem of predicting a future measurement on an individual given the past measurements is discu...
<p>Latent Growth Curve Model: Parameter Estimates for Intercepts, Slopes and Correlations of Slopes ...
In this paper we consider the problem of testing (a) sphericity and (b) intraclass covariance struct...
We introduce a special correlation structure in the growth curve model, which can be viewed as a tra...
In this article, we consider the problem of testing (a) sphericity and (b) intraclass covariance str...
In this paper we consider maximum likelihood analysis of generalized growth curve model with the Box...
In this paper, the implementation of algorithm proposed in (Nzabanita, J., et al. 2012) for some kno...
Growth-curve models are generalized multivariate analysis-of-variance models. These models are espec...
AbstractStandard and extended growth curve model (multivariate linear model) with practically import...
summary:We consider a multivariate regression (growth curve) model of the form $Y = XBZ + \varepsilo...
<p>Step Ahead Prediction Mean Squared Error (MSE) for Linear Predictor Coefficient Model.</p
AbstractEstimation of parameters in the classical Growth Curve model, when the covariance matrix has...
Estimation of parameters in the classical Growth Curve model when the covariance matrix has some spe...
<p>Growth curve model-predicted resilience mean values for the different assessments of treatment an...
The growth curve model (GCM) has been widely used in longitudinal studies and repeated measures. Mos...
The problem of predicting a future measurement on an individual given the past measurements is discu...
<p>Latent Growth Curve Model: Parameter Estimates for Intercepts, Slopes and Correlations of Slopes ...
In this paper we consider the problem of testing (a) sphericity and (b) intraclass covariance struct...
We introduce a special correlation structure in the growth curve model, which can be viewed as a tra...
In this article, we consider the problem of testing (a) sphericity and (b) intraclass covariance str...
In this paper we consider maximum likelihood analysis of generalized growth curve model with the Box...
In this paper, the implementation of algorithm proposed in (Nzabanita, J., et al. 2012) for some kno...
Growth-curve models are generalized multivariate analysis-of-variance models. These models are espec...
AbstractStandard and extended growth curve model (multivariate linear model) with practically import...
summary:We consider a multivariate regression (growth curve) model of the form $Y = XBZ + \varepsilo...
<p>Step Ahead Prediction Mean Squared Error (MSE) for Linear Predictor Coefficient Model.</p
AbstractEstimation of parameters in the classical Growth Curve model, when the covariance matrix has...
Estimation of parameters in the classical Growth Curve model when the covariance matrix has some spe...
<p>Growth curve model-predicted resilience mean values for the different assessments of treatment an...
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