Authors:
- Focuses on the problem caused by imbalanced data often observed in ecology and biology
- Introduces the latest statistical methods for imbalanced data
- Demonstrates the application of statistical methods to several real data sets
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)
Part of the book sub series: JSS Research Series in Statistics (JSSRES)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Seikei University, Musashino, Japan
Osamu Komori
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The Institute of Statistical Mathematics, Tachikawa, Japan
Shinto Eguchi
About the authors
Shinto Eguchi, The Institute of Statistical Mathematics
Bibliographic Information
Book Title: Statistical Methods for Imbalanced Data in Ecological and Biological Studies
Authors: Osamu Komori, Shinto Eguchi
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-4-431-55570-4
Publisher: Springer Tokyo
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s), under exclusive licence to Springer Japan KK 2019
Softcover ISBN: 978-4-431-55569-8Published: 15 July 2019
eBook ISBN: 978-4-431-55570-4Published: 02 July 2019
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: VIII, 59
Number of Illustrations: 15 b/w illustrations, 7 illustrations in colour
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Statistical Theory and Methods, Biostatistics, Statistics for Social Sciences, Humanities, Law