Screen LibraryModern directional statistics /
Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate statistics eases the re...
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| Main Authors: | |
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| Group Author: | |
| Published: |
CRC Press, Taylor & Francis Group,
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| Publisher Address: | Boca Raton, FL : |
| Publication Dates: | [2017] |
| Literature type: | Book |
| Language: | English |
| Series: |
Chapman & Hall/CRC interdisciplinary statistics series
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| Subjects: | |
| Summary: |
Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate statistics eases the reading but is not mandatory. The field of directional statistics has received a lot of attention over the past two decades, due to new demands from domains such as life sciences or machine learning, to the availability of massive data sets requiring adapted statistical techniques, and to technological advances. This book covers important progresses in distribution theory,high-dimensional statistics, kernel density estimation, efficient inference on directional supports, and computational and graphical methods. -- |
| Carrier Form: | xiv, 176 pages : illustrations, tables ; 27 cm. |
| Bibliography: | Includes bibliographical references (pages 149-171) and index. |
| ISBN: |
9781498706643 1498706649 |
| Index Number: | QA276 |
| CLC: | O212 |
| Call Number: | O212/L681 |