Applied directional statistics : modern methods and case studies

Author(s)

    • Ley, Christophe
    • Verdebout, Thomas

Bibliographic Information

Applied directional statistics : modern methods and case studies

edited by Christophe Ley, Thomas Verdebout

(Interdisciplinary statistics)(A Chapman & Hall book)

CRC Press, c2019

Available at  / 6 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017). The field of directional statistics has received a lot of attention due to demands from disciplines such as life sciences or machine learning, the availability of massive data sets requiring adapted statistical techniques, and technological advances. This book covers important progress in bioinformatics, biology, astrophysics, oceanography, environmental sciences, earth sciences, machine learning and social sciences.

Table of Contents

Bioinformatics. State-space Markov processes applied to sea waves. Needlets and cosmology. Machine learning. Human body measurements. Circular statistics with R.

by "Nielsen BookData"

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