Using the growth curve model in classification of repeated measurements

被引：0

作者：

von Rosen, Dietrich ^{[1
,2
]}

Singull, Martin ^{[2
]}

机构：

[1] Swedish Univ Agr Sci, Dept Energy & Technol, Uppsala, Sweden

[2] Linkoping Univ, Dept Math, S-58183 Linkoping, Sweden

来源：

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS | 2024年 / 76卷 / 03期

关键词：

Discriminant analysis; Growth curve model; Likelihood-based classification; DISCRIMINANT FUNCTIONS; HYPOTHESES;

D O I：

10.1007/s10463-024-00900-1

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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.

引用

页码：511 / 534

页数：24

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