Add to ORKGIn this paper we consider discrimination between two populations of repeated measurements using growth curve models. We establish a classification procedure that is likelihood based, in that sense that we compare the two likelihoods given that the new observation belongs to respectively population. We also discuss the possibility that we classify the new observation to an unknown population, which we show is natural when considering growth curves
The problem of estimating the parameters of several growth curves has been considered for the case w...
Growth curve model is a model of Generalized Multivariate Analysis of variance (GMANOVA) that is spe...
The Growth Curve Model is a bilinear statistical model which can be used to analyse several groups o...
In this paper we consider discrimination between two populations of repeated measurements using grow...
This thesis focuses on approximating misclassification errors of likelihood-based classifiers consid...
This thesis focuses on approximating misclassification errors of likelihood-based classifiers consid...
The classification of observations based on repeated measurements performed on the same subject over...
The classification of observations based on repeated measurements performed on the same subject over...
In this paper, we propose approximations for the probabilities of misclassification in linear discri...
In this paper, probabilities of misclassification of a two-step likelihood-based discriminant rule a...
This thesis focuses on statistical and machine learning methods designed for sequential and repeated...
In this paper, we propose approximations for the probabilities of misclassification in linear discri...
Growth-curve models are generalized multivariate analysis-of-variance models. The basic idea of the ...
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...
The problem of estimating the parameters of several growth curves has been considered for the case w...
Growth curve model is a model of Generalized Multivariate Analysis of variance (GMANOVA) that is spe...
The Growth Curve Model is a bilinear statistical model which can be used to analyse several groups o...
In this paper we consider discrimination between two populations of repeated measurements using grow...
This thesis focuses on approximating misclassification errors of likelihood-based classifiers consid...
This thesis focuses on approximating misclassification errors of likelihood-based classifiers consid...
The classification of observations based on repeated measurements performed on the same subject over...
The classification of observations based on repeated measurements performed on the same subject over...
In this paper, we propose approximations for the probabilities of misclassification in linear discri...
In this paper, probabilities of misclassification of a two-step likelihood-based discriminant rule a...
This thesis focuses on statistical and machine learning methods designed for sequential and repeated...
In this paper, we propose approximations for the probabilities of misclassification in linear discri...
Growth-curve models are generalized multivariate analysis-of-variance models. The basic idea of the ...
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...
The problem of estimating the parameters of several growth curves has been considered for the case w...
Growth curve model is a model of Generalized Multivariate Analysis of variance (GMANOVA) that is spe...
The Growth Curve Model is a bilinear statistical model which can be used to analyse several groups o...