有序成分数据和时间序列

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-10-05 DOI:10.1177/1471082x231190971

Christian H. Weiß

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引用次数: 0

摘要

在一些实际应用中，组合数据(CoDa)背后的类别表现出自然的顺序，然而，现有的CoDa方法无法解释这一点。对于不同的应用领域，证明了适当开发的有序CoDa方法提供了有价值的额外见解，因此，建议补充现有的CoDa方法。潜在的好处证明了有序CoDa的(视觉)描述性分析，基于CoDa样本的统计推断，通过控制图监测CoDa过程，以及成分时间序列的分析和建模。这些新方法通过几个实际数据实例加以说明。

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Ordinal compositional data and time series

There are several real applications where the categories behind compositional data (CoDa) exhibit a natural order, which, however, is not accounted for by existing CoDa methods. For various application areas, it is demonstrated that appropriately developed methods for ordinal CoDa provide valuable additional insights and are, thus, recommended to complement existing CoDa methods. The potential benefits are demonstrated for the (visual) descriptive analysis of ordinal CoDa, for statistical inference based on CoDa samples, for the monitoring of CoDa processes by means of control charts, and for the analysis and modelling of compositional time series. The novel methods are illustrated by a couple of real-world data examples.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.