Statistical Methods for Imbalanced Data in Ecological and Biological Studies

• Main Authors: Komori, Osamu (Author, http://id.loc.gov/vocabulary/relators/aut), Eguchi, Shinto (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Tokyo : Springer Japan : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: JSS Research Series in Statistics,
• Subjects: Statistics .; Biostatistics.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistical Theory and Methods.; Statistics for Social Sciences, Humanities, Law.

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 t...

Table of Contents:

• 1. Imbalance Data
• 2. Weighted Logistic Regression
• 3. Beta-Maxent
• 4. Generalized-t Statistic
• 5. Machine Learning Methods for Imbalance Data.