Описание: This book provides a comprehensive overview of the theory and practical applications of spectroscopic, mineralogical, and geochemical techniques used in planetary remote sensing. It describes state-of-the-art developments in analyzing the chemistry and mineralogy of the surfaces of planets, moons, asteroids, and comets.
Автор: van den Boogaart, K. Gerald, Tolosana-Delgado, Raimon Название: Analyzing Compositional Data with R ISBN: 3642368085 ISBN-13(EAN): 9783642368080 Издательство: Springer Рейтинг: Цена: 7406.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Filzmoser Peter, Hron Karel, Templ Matthias Название: Applied Compositional Data Analysis: With Worked Examples in R ISBN: 3319964208 ISBN-13(EAN): 9783319964201 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and regression.
Автор: Josep Antoni Mart?n-Fern?ndez; Santiago Thi?-Henes Название: Compositional Data Analysis ISBN: 3319448102 ISBN-13(EAN): 9783319448107 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Greenacre, Michael (universitat Pompeu Fabra, Barcelona, Spain) Название: Compositional data analysis in practice ISBN: 113831661X ISBN-13(EAN): 9781138316614 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This concise book presents a very applied introduction to compositional data analysis, focussing on the use of R for analysis. It includes lots of real examples, code snippets, and colour figures, to illustrate the methods.
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