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Combinatorial Inference in Geometric Data AnalysisBrigitte Le Roux, Solène Bienaise

Combinatorial Inference in Geometric Data Analysis

2019256 pages
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5 editions

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About

This book covers methods for statistical inference in geometric data analysis based on a combinatorial framework. These methods enable the researcher to answer certain questions that cannot be answered by statistical models due to the underlying assumptions. It presents all the methodology, together with detailed case studies to illustrate the potential applications. R code is provided in the book for implementation of the methodology. This book is suitable for researchers and students of multivariate statistics, as well as applied researchers of various scientific disciplines. It could be…

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Editions

5 editions
  • Hardcover · English · 2019
    Chapman and Hall/CRC, Taylor & Francis Group · 268 pages · 9781498781619
  • Other · English · 2021
    Taylor & Francis Group · 256 pages · 9781032093734
  • Other · English · 2019
    Taylor & Francis Group · 256 pages · 9781498781626
  • Other · English · 2019
    Taylor & Francis Group · 256 pages · 9781351641821
  • Other · English · 2019
    Taylor & Francis Group · 256 pages · 9781351651332
Geometric analysisCombinatorial analysisMathematical statisticsMultivariate analysisStatistical inferenceStatisticsAnalyse géométriqueAnalyse combinatoire