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Compositional Data Analysis, Josep Antoni Mart?n-Fern?ndez; Santiago Thi?-Henes


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Автор: Josep Antoni Mart?n-Fern?ndez; Santiago Thi?-Henes
Название:  Compositional Data Analysis
ISBN: 9783319448107
Издательство: Springer
Классификация:


ISBN-10: 3319448102
Обложка/Формат: Hardback
Страницы: 209
Вес: 0.50 кг.
Дата издания: 2016
Серия: Springer proceedings in mathematics and statistics
Язык: English
Издание: 1st ed. 2016
Иллюстрации: 13 black & white illustrations, 58 colour illustrations, biography
Размер: 234 x 156 x 14
Читательская аудитория: Professional & vocational
Подзаголовок: Codawork, l`escala, spain, june 2015
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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 approach to 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 International Workshops on Compositional Data Analysis offer a vital discussion forum for researchers and practitioners concerned with the statistical treatment and modelling of compositional data or other constrained data sets and the interpretation of models and their applications. The goal of the workshops is to summarize and share recent developments, and to identify important lines of future research.
Дополнительное описание: Compositional Analysis of Species Composition - Pawlowsky-Glahn, Monreal-Pawlowsky, Egozcue.- Optimising Archaeologic Ceramics h-XRF Analyses - Bergman, Lindahl.- Relationship Between Popularity of Key Words on the Google Browser and the Evolution of Worl



Analyzing Compositional Data with R

Автор: van den Boogaart, K. Gerald, Tolosana-Delgado, Raimon
Название: Analyzing Compositional Data with R
ISBN: 3642368085 ISBN-13(EAN): 9783642368080
Издательство: Springer
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Цена: 7406.00 р.
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Описание: This book covers statistical analysis of compositional data sets from basic principles to applications in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods. Offers many illustrated examples and code chunks.


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