Analyzing Compositional Data by Boogaart Gerald (13 results)
- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
- Softcover
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Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE 2013
Series: Use R!, Book 39 of 68. Book 39 of 68 - Use R!
- Softcover
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Paperback. Condition: New. 2013 ed.
Analyzing Compositional Data with R (Use R!)
Van Den Boogaart, K. Gerald Gerald; Tolosana-Delgado, Raimon
- Softcover
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- Softcover
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- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE 2013
Series: Use R!, Book 39 of 68. Book 39 of 68 - Use R!
- Softcover
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Paperback. Condition: New. 2013 ed.
Language: English
Published by Springer, Springer Gabler 2013
Series: Use R!, Book 39 of 68. Book 39 of 68 - Use R!
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. 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, robu…st 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.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Analyzing Compositional Data with R | K. Gerald van den Boogaart (u. a.) | Taschenbuch | xv | Englisch | 2013 | Springer | EAN 9783642368080 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Softcover
Seller: ChouetteCoop, Kervignac, FranceChouetteCoop
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Condition: Used: Good. Occasion - Bon Etat - Analyzing compositional data with R (2013) - Grand Format.
Language: English
Published by Springer Verlag 2013
Series: Use R!, Book 39 of 68. Book 39 of 68 - Use R!
- Softcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 2013 edition. 280 pages. 8.75x6.00x0.50 inches. In Stock. This item is printed on demand.
Language: English
Published by Springer, Springer Gabler Jul 2013 2013
Series: Use R!, Book 39 of 68. Book 39 of 68 - Use R!
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 an…alysis, 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-Verlag KG, Sachsenplatz 4-6, 1201 Wien 276 pp. Englisch.
