Modelling multivariate data using product copulas and minimum distance estimators: an exemplary application to ecological traits

IF 3 4区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Environmental and Ecological Statistics Pub Date : 2022-01-04 DOI:10.1007/s10651-021-00525-0

E. Liebscher, Franziska Taubert, David Waltschew, Jessica Hetzer

引用次数: 3

查看原文本刊更多论文

使用产品组合和最小距离估计器建模多元数据:生态性状的示范应用

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Environmental and Ecological Statistics 环境科学-环境科学

CiteScore

5.90

自引率

2.60%

发文量

审稿时长

>36 weeks

期刊介绍： Environmental and Ecological Statistics publishes papers on practical applications of statistics and related quantitative methods to environmental science addressing contemporary issues. Emphasis is on applied mathematical statistics, statistical methodology, and data interpretation and improvement for future use, with a view to advance statistics for environment, ecology and environmental health, and to advance environmental theory and practice using valid statistics. Besides clarity of exposition, a single most important criterion for publication is the appropriateness of the statistical method to the particular environmental problem. The Journal covers all aspects of the collection, analysis, presentation and interpretation of environmental data for research, policy and regulation. The Journal is cross-disciplinary within the context of contemporary environmental issues and the associated statistical tools, concepts and methods. The Journal broadly covers theory and methods, case studies and applications, environmental change and statistical ecology, environmental health statistics and stochastics, and related areas. Special features include invited discussion papers; research communications; technical notes and consultation corner; mini-reviews; letters to the Editor; news, views and announcements; hardware and software reviews; data management etc.