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JSS Research Series in Statistics

Statistical Methods for Imbalanced Data in Ecological and Biological Studies

Authors: Komori, Osamu, Eguchi, Shinto

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  • 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
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eBook 41,64 €
price for France (gross)
  • ISBN 978-4-431-55570-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 52,74 €
price for France (gross)
  • ISBN 978-4-431-55569-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book presents a fresh, new approach in that it provides a comprehensive recent review of challenging problems caused by imbalanced data in prediction and classification, and also in that it introduces several of the latest statistical methods of dealing with these problems. The book discusses the property of the imbalance of data from two points of view. The first is quantitative imbalance, meaning that the sample size in one population highly outnumbers that in another population. It includes presence-only data as an extreme case, where the presence of a species is confirmed, whereas the information on its absence is uncertain, which is especially common in ecology in predicting habitat distribution. The second is qualitative imbalance, meaning that the data distribution of one population can be well specified whereas that of the other one shows a highly heterogeneous property. A typical case is the existence of outliers commonly observed in gene expression data, and another is heterogeneous characteristics often observed in a case group in case-control studies. The extension of the logistic regression model, maxent, and AdaBoost for imbalanced data is discussed, providing a new framework for improvement of prediction, classification, and performance of variable selection. Weights functions introduced in the methods play an important role in alleviating the imbalance of data. This book also furnishes a new perspective on these problem and shows some applications of the recently developed statistical methods to real data sets.

About the authors

Osamu Komori, The Institute of Statistical Mathematics, 
Shinto Eguchi, The Institute of Statistical Mathematics

Table of contents (5 chapters)

Table of contents (5 chapters)

Buy this book

eBook 41,64 €
price for France (gross)
  • ISBN 978-4-431-55570-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 52,74 €
price for France (gross)
  • ISBN 978-4-431-55569-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Methods for Imbalanced Data in Ecological and Biological Studies
Authors
Series Title
JSS Research Series in Statistics
Copyright
2019
Publisher
Springer Japan
Copyright Holder
The Author(s), under exclusive licence to Springer Japan KK
Distribution Rights
Distribution rights worldwide
eBook ISBN
978-4-431-55570-4
DOI
10.1007/978-4-431-55570-4
Softcover ISBN
978-4-431-55569-8
Series ISSN
2364-0057
Edition Number
1
Number of Pages
VIII, 59
Number of Illustrations
15 b/w illustrations, 7 illustrations in colour
Topics