ArticleEcology and evolution2020
Estimating polymorphic growth curve sets with nonchronological data.
Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Genomic and Pathogenic Characterization of a Novel Capsule-Deficient Neonatal Meningitis-AssociatedVeterinary sciences · 2026Article
- Estimating polymorphic growth curve sets with nonchronological data.Ecology and evolution · 2020Article
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Abstract
When we collect the growth curves of many individuals, orderly variation in the curves is often observed rather than a completely random mixture of various curves. Small individuals may exhibit similar growth curves, but the curves differ from those of large individuals, whereby the curves gradually vary from small to large individuals. It has been recognized that after standardization with the asymptotes, if all the growth curves are the same (anamorphic growth curve set), the growth curve sets can be estimated using nonchronological data; otherwise, that is, if the growth curves are not identical after standardization with the asymptotes (polymorphic growth curve set), this estimation is not feasible. However, because a given set of growth curves determines the variation in the observed data, it may be possible to estimate polymorphic growth curve sets using nonchronological data.In this study, we developed an estimation method by deriving the likelihood function for polymorphic growth curve sets. The method involves simple maximum likelihood estimation. The weighted nonlinear regression and least-squares method after the log-transform of the anamorphic growth curve sets were included as special cases.The growth curve sets of the height of cypress (
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