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標(biāo)題: Titlebook: Analyzing Compositional Data with R; K. Gerald van den Boogaart,Raimon Tolosana-Delgado Book 2013 Springer-Verlag Berlin Heidelberg 2013 C [打印本頁(yè)]

作者: deflate    時(shí)間: 2025-3-21 20:00
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作者: 錢財(cái)    時(shí)間: 2025-3-21 23:10
Distributions for Random Compositions,ementary probability models, as well as the available functions to work with them. The last section summarizes some properties and relations between the several distributions presented before. Tests for the various distribution models are discussed after presenting each model.
作者: 即席    時(shí)間: 2025-3-22 00:36
Book 2013overed from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization and model display issues. Many illustrated example
作者: 心胸開闊    時(shí)間: 2025-3-22 05:20
https://doi.org/10.1007/978-3-031-04950-7ementary probability models, as well as the available functions to work with them. The last section summarizes some properties and relations between the several distributions presented before. Tests for the various distribution models are discussed after presenting each model.
作者: airborne    時(shí)間: 2025-3-22 08:56
Varieties or Diversity of Capitalism? compositional data, the Aitchison geometry, is also included. The whole book relies on these basic principles, and the reader should make him or herself familiar with them in Sects. 2.1 – 2.5 before going on.
作者: faculty    時(shí)間: 2025-3-22 13:18

作者: 野蠻    時(shí)間: 2025-3-22 20:38

作者: 箴言    時(shí)間: 2025-3-23 00:01
Fundamental Concepts of Compositional Data Analysis, compositional data, the Aitchison geometry, is also included. The whole book relies on these basic principles, and the reader should make him or herself familiar with them in Sects. 2.1 – 2.5 before going on.
作者: 退出可食用    時(shí)間: 2025-3-23 04:39

作者: 敵手    時(shí)間: 2025-3-23 06:08
Zeroes, Missings, and Outliers,provides a set of tools limited to detect, represent, and briefly analyze such irregular values, either missing values, zeroes, or outliers. This chapter provides nevertheless additional background material to enable the reader to carefully treat datasets with irregular data.
作者: 通情達(dá)理    時(shí)間: 2025-3-23 09:57

作者: Ergots    時(shí)間: 2025-3-23 15:08
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
作者: agonist    時(shí)間: 2025-3-23 18:30
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
作者: cogent    時(shí)間: 2025-3-24 00:33
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
作者: mortgage    時(shí)間: 2025-3-24 04:23

作者: 采納    時(shí)間: 2025-3-24 10:15
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.
作者: Nuance    時(shí)間: 2025-3-24 12:19
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
作者: 自然環(huán)境    時(shí)間: 2025-3-24 14:55

作者: 預(yù)知    時(shí)間: 2025-3-24 19:08

作者: mitral-valve    時(shí)間: 2025-3-25 02:27
https://doi.org/10.1007/978-3-642-36809-7Compositional data analysis; Logratio analysis; Multivariate linear regression; Proportions and percent
作者: 貪心    時(shí)間: 2025-3-25 05:11
978-3-642-36808-0Springer-Verlag Berlin Heidelberg 2013
作者: Neolithic    時(shí)間: 2025-3-25 10:35

作者: Veneer    時(shí)間: 2025-3-25 15:04

作者: 鐵砧    時(shí)間: 2025-3-25 18:05

作者: beta-carotene    時(shí)間: 2025-3-25 23:54
https://doi.org/10.1007/978-3-031-04950-7a is given by relative portions summing up to 1 or 100 %. But more often compositional data appear disguised in several ways: different components might be reported in different physical units, different cases might sum up to different totals, and almost never all relevant components are reported. N
作者: 導(dǎo)師    時(shí)間: 2025-3-26 01:27
Varieties or Diversity of Capitalism? 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
作者: 使成整體    時(shí)間: 2025-3-26 07:14

作者: 截?cái)?nbsp;   時(shí)間: 2025-3-26 12:17
Varieties or Diversity of Capitalism?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
作者: 物質(zhì)    時(shí)間: 2025-3-26 16:09

作者: 等級(jí)的上升    時(shí)間: 2025-3-26 19:48
Diversity of Capitalisms in Latin America 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.
作者: Opponent    時(shí)間: 2025-3-26 20:59
Vesna Rijavec,Wendy Kennett,Tja?a Ivanc 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
作者: accrete    時(shí)間: 2025-3-27 02:52
https://doi.org/10.1007/978-3-031-04950-7ackages are now available to treat compositional data within it. This book is at the same time a textbook on compositional data analysis from a modern perspective and a sort of manual on the .-package “compositions”: both . and “compositions” are available for download as free software. This chapter
作者: ineffectual    時(shí)間: 2025-3-27 05:38

作者: negotiable    時(shí)間: 2025-3-27 11:44
Book 2013n, research has expanded our understanding of their theoretical principles and the potentials and limitations of their interpretation. This is the first comprehensive textbook addressing these issues, as well as their practical implications with regard to software..The book is intended for scientist
作者: chlorosis    時(shí)間: 2025-3-27 16:58

作者: aggrieve    時(shí)間: 2025-3-27 19:26

作者: 得罪    時(shí)間: 2025-3-27 22:21

作者: Harrowing    時(shí)間: 2025-3-28 03:02
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作者: inchoate    時(shí)間: 2025-3-28 07:41
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作者: 包租車船    時(shí)間: 2025-3-28 10:41
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作者: 做事過(guò)頭    時(shí)間: 2025-3-28 14:45
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