2013, ISBN: 9783642368080

[ED: Softcover], [PU: Springer / Springer Berlin Heidelberg / Springer, Berlin], This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proport… Plus…

[ED: Softcover], [PU: Springer / Springer Berlin Heidelberg / Springer, Berlin], This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered 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 examples and code chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package "compositions," it is also a general introductory text on Compositional Data Analysis. Awareness of their special characteristics spread in the Geosciences in the early sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, 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 scientists interested in statistically analyzing their compositional data. The subject enjoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum of recent applications also covers areas like medicine, official statistics, and economics. Readers should be familiar with basic univariate and multivariate statistics. Knowledge of R is recommended but not required, as the book is self-contained. 2013. 2013. xv, 258 S. XV, 258 p. 62 illus., 20 illus. in color. 235 mm Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<

2013, ISBN: 3642368085

[EAN: 9783642368080], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], CHEMIE / GEOCHEMIE; MATHEMATIK STATISTIK; COMPOSITIONALDATAANALYSIS; LOGRATIOANALYSIS; MULTIVARIATELINEARREGRES… Plus…

[EAN: 9783642368080], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], CHEMIE / GEOCHEMIE; MATHEMATIK STATISTIK; COMPOSITIONALDATAANALYSIS; LOGRATIOANALYSIS; MULTIVARIATELINEARREGRESSION; PROPORTIONSANDPERCENTAGES; R!, Druck auf Anfrage Neuware - Printed after ordering - This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered 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 examples and code chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package 'compositions,' it is also a general introductory text on Compositional Data Analysis. Awareness of their special characteristics spread in the Geosciences in the early sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, 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 scientists interested in statistically analyzing their compositional data. The subject enjoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum of recent applications also covers areas like medicine, official statistics, and economics. Readers should be familiar with basic univariate and multivariate statistics. Knowledge of R is recommended but not required, as the book is self-contained. 276 pp. Englisch, Books<

ISBN: 9783642368080

This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles t… Plus…

This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered 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 examples and code chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package “compositions,” it is also a general introductory text on Compositional Data Analysis. Awareness of their special characteristics spread in the Geosciences in the early sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, 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 scientists interested in statistically analyzing their compositional data. The subject enjoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum of recent applications also covers areas like medicine, official statistics, and economics. Readers should be familiar with basic univariate and multivariate statistics. Knowledge of R is recommended but not required, as the book is self-contained., Springer<

ISBN: 9783642368080

ISBN-13: 9783642368080, 978-3642368080. Many illustrated examples and code chunks guide the reader into their modeling and interpretation. Analyzing Compositional Data with R. The book is… Plus…

ISBN-13: 9783642368080, 978-3642368080. Many illustrated examples and code chunks guide the reader into their modeling and interpretation. Analyzing Compositional Data with R. The book is intended for scientists interested in statistically analyzing their compositional data. Analyzing Compositional Data with R Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days)., Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG<

ISBN: 9783642368080

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