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Using the growth curve model in classification of repeated measurements

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Abstract

In this paper, discrimination between two populations following the growth curve model is considered. A likelihood-based classification procedure is established, in the sense that we compare the two likelihoods given that the new observation belongs to respective population. The possibility to classify the new observation as belonging to an unknown population is discussed, which is shown to be natural when considering growth curves. Several examples and simulations are given to emphasize this possibility.

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Acknowledgements

The authors would like to thank the anonymous reviewers for valuable and helpful suggestions which have significantly improved the paper.

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Authors and Affiliations

  1. Department of Energy and Technology, Swedish University of Agricultural Science, Uppsala, Sweden

    Dietrich von Rosen

  2. Department of Mathematics, Linköping University, 581 83, Linköping, Sweden

    Dietrich von Rosen & Martin Singull

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  1. Dietrich von Rosen
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  2. Martin Singull
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Correspondence to Martin Singull.

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von Rosen, D., Singull, M. Using the growth curve model in classification of repeated measurements. Ann Inst Stat Math 76, 511–534 (2024). https://doi.org/10.1007/s10463-024-00900-1

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