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Titlebook: Compositional Data Analysis; CoDaWork, L’Escala, Josep Antoni Martín-Fernández,Santiago Thió-Henest Conference proceedings 2016 Springer I

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書目名稱Compositional Data Analysis
副標題CoDaWork, L’Escala,
編輯Josep Antoni Martín-Fernández,Santiago Thió-Henest
視頻videohttp://file.papertrans.cn/232/231850/231850.mp4
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
叢書名稱Springer Proceedings in Mathematics & Statistics
圖書封面Titlebook: Compositional Data Analysis; CoDaWork, L’Escala,  Josep Antoni Martín-Fernández,Santiago Thió-Henest Conference proceedings 2016 Springer I
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
關鍵詞62Pxx, 62Hxx, 62Jxx, 62Exx; compositional data; multivariate statistics; log-ratio approach; application
版次1
doihttps://doi.org/10.1007/978-3-319-44811-4
isbn_softcover978-3-319-83141-1
isbn_ebook978-3-319-44811-4Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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A Compositional Approach to Allele Sharing Analysis,atistical methods used in population-based genetic association studies (such as standard regression models, t-tests, and logistic regression) assume that the observations (individuals) are independent. These techniques can fail if independence is not satisfied. Allele sharing is a powerful data anal
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An Application of the Isometric Log-Ratio Transformation in Relatedness Research,tent to which alleles of a pair of individuals match over a set of markers for which their genotype has been determined. A distinction is usually drawn between alleles that are identical by state (IBS) and alleles that are identical by descent (IBD). Since any pair of individuals can only share 0, 1
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Relationship Between the Popularity of Key Words in the Google Browser and the Evolution of Worldwin terms in the Google browser and the evolution of several worldwide economic indices the subsequent week. A linear model trying to predict the evolution of 19 financial indices from all over the world with the information of how many times a selected group of 200 key words are looked up online the
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Representation of Species Composition,roblems derived from spurious correlation. Here, it is used to show that it offers an alternative to the de Finetti ternary diagram for representing variability of species composition avoiding the problems typical of a standard analysis of proportions, namely spurious correlation and limitation to t
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,Joint Compositional Calibration: An Example for U–Pb Geochronology,s Spectrometry (LA-ICP-MS), specially in the case that the quantities of interest are linear functions of (log)-ratios. These quantities are scale invariant, but in general cannot be estimated without taking into account possible additive noise effects of the instrumentation, incompatible with a pur
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