书目名称 | Compositional Data Analysis | 副标题 | CoDaWork, L’Escala, | 编辑 | Josep Antoni Martín-Fernández,Santiago Thió-Henest | 视频video | | 概述 | Presents mathematical and statistical theory and techniques in compositional data analysis.Explores the wealth of applications of CoDa in geochemistry, the life sciences and other disciplines.Features | 丛书名称 | Springer Proceedings in Mathematics & Statistics | 图书封面 |  | 描述 | .The authoritative contributions gathered in this volume reflect the state of the art in compositional data analysis (CoDa). The respective chapters cover all aspects of CoDa, ranging from mathematical theory, statistical methods and techniques to its broad range of applications in geochemistry, the life sciences and other disciplines. The selected and peer-reviewed papers were originally presented at the 6th International Workshop on Compositional Data Analysis, CoDaWork 2015, held in L’Escala (Girona), Spain..Compositional data is defined as vectors of positive components and constant sum, and, more generally, all those vectors representing parts of a whole which only carry relative information. Examples of compositional data can be found in many different fields such as geology, chemistry, economics, medicine, ecology and sociology. As most of the classical statistical techniques are incoherent on compositions, in the 1980s John Aitchison proposed the log-ratio approachto CoDa. This became the foundation of modern CoDa, which is now based on a specific geometric structure for the simplex, an appropriate representation of the sample space of compositional data. . The Internationa | 出版日期 | Conference proceedings 2016 | 关键词 | 62Pxx, 62Hxx, 62Jxx, 62Exx; compositional data; multivariate statistics; log-ratio approach; application | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-44811-4 | isbn_softcover | 978-3-319-83141-1 | isbn_ebook | 978-3-319-44811-4Series ISSN 2194-1009 Series E-ISSN 2194-1017 | issn_series | 2194-1009 | copyright | Springer International Publishing Switzerland 2016 |
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