在重复测量分类中使用生长曲线模型

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Annals of the Institute of Statistical Mathematics Pub Date : 2024-03-29 DOI:10.1007/s10463-024-00900-1

Dietrich von Rosen, Martin Singull

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引用次数: 0

摘要

本文考虑了按照增长曲线模型区分两个种群的问题。本文建立了一个基于似然法的分类程序，即在新观测数据属于各自种群的情况下，比较两个似然法。我们还讨论了将新观测数据归类为未知种群的可能性，这在考虑增长曲线时是很自然的。我们给出了几个例子和模拟来强调这种可能性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Using the growth curve model in classification of repeated measurements

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Using the growth curve model in classification of repeated measurements

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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来源期刊

Annals of the Institute of Statistical Mathematics 数学-统计学与概率论

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Annals of the Institute of Statistical Mathematics (AISM) aims to provide a forum for open communication among statisticians, and to contribute to the advancement of statistics as a science to enable humans to handle information in order to cope with uncertainties. It publishes high-quality papers that shed new light on the theoretical, computational and/or methodological aspects of statistical science. Emphasis is placed on (a) development of new methodologies motivated by real data, (b) development of unifying theories, and (c) analysis and improvement of existing methodologies and theories.