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Compositional data analysis in practice

By: Greenacre, Michael.
Material type: materialTypeLabelBookSeries: Chapman & Hall/CRC interdisciplinary statistics.Publisher: London CRC Press 2019Description: xiv, 121 p.ISBN: 9781138316430.Subject(s): Quantitative research | Principal components analysis | Electronic data processingDDC classification: 001.42 Summary: Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical methods are applied, and are best analysed by first transforming them to logarithms of ratios. This book explains how this transformation affects the analysis, results and interpretation of this very special type of data. All aspects of compositional data analysis are considered: visualization, modelling, dimension-reduction, clustering and variable selection, with many examples in the fields of food science, archaeology, sociology and biochemistry, and a final chapter containing a complete case study using fatty acid compositions in ecology. The applicability of these methods extends to other fields such as linguistics, geochemistry, marketing, economics and finance. https://www.crcpress.com/Compositional-Data-Analysis-in-Practice/Greenacre/p/book/9781138316430
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Non-fiction 001.42 G7C6 (Browse shelf) Available 198160

Includes bibliographical references and index

Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical methods are applied, and are best analysed by first transforming them to logarithms of ratios. This book explains how this transformation affects the analysis, results and interpretation of this very special type of data. All aspects of compositional data analysis are considered: visualization, modelling, dimension-reduction, clustering and variable selection, with many examples in the fields of food science, archaeology, sociology and biochemistry, and a final chapter containing a complete case study using fatty acid compositions in ecology. The applicability of these methods extends to other fields such as linguistics, geochemistry, marketing, economics and finance.

https://www.crcpress.com/Compositional-Data-Analysis-in-Practice/Greenacre/p/book/9781138316430

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