通情达理
发表于 2025-3-23 09:57:15
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Ergots
发表于 2025-3-23 15:08:37
Fundamental Concepts of Compositional Data Analysis, data analysis and this book cannot be understood without a basic knowledge of these issues and how they are represented in .. Therefore, this chapter introduces the basic geometric concepts of compositional data and of the .-package “.”: the relative nature of compositional data; how to load, repre
agonist
发表于 2025-3-23 18:30:39
Distributions for Random Compositions,irichlet and the additive logistic normal (or normal on the simplex). For count compositions, the multinomial distribution and the double stochastic distribution are the reference models. The first two sections of this chapter summarize the definitions of these models, together with some other compl
cogent
发表于 2025-3-24 00:33:08
Descriptive Analysis of Compositional Data,n inappropriate approach for compositional data, because the parts of a composition are intrinsically linked to each other: the dataset is multivariate in nature, not by decision of the analyst. Following the principle of working in coordinates and the golden rule of working with log ratios, we can
mortgage
发表于 2025-3-24 04:23:13
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采纳
发表于 2025-3-24 10:15:42
Multivariate Statistics, have their compositional counterparts. These are mostly applications of the principle of working in coordinates, though not always in a straightforward fashion. The definition, the corresponding tools, and the compositional interpretation of these exploratory techniques are discussed here.
Nuance
发表于 2025-3-24 12:19:39
Zeroes, Missings, and Outliers, and statistical tests. Since all of these methods depend on every value of the dataset, we cannot ignore them in any task. Some ad hoc procedures are needed, with the same aims as the classical methods, but which can still be computed despite the existence of irregular data. It is necessary to . th
自然环境
发表于 2025-3-24 14:55:26
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预知
发表于 2025-3-24 19:08:36
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mitral-valve
发表于 2025-3-25 02:27:32
https://doi.org/10.1007/978-3-642-36809-7Compositional data analysis; Logratio analysis; Multivariate linear regression; Proportions and percent