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Statistical Methods for Imbalanced Data in Ecology and Biology
Komori, Osamu; Eguchi, Shinto
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Description for Statistical Methods for Imbalanced Data in Ecology and Biology
Paperback. Series: SpringerBriefs in Statistics. Num Pages: 100 pages, biography. BIC Classification: JHBC; PBT; PSA. Category: (P) Professional & Vocational. Dimension: 235 x 155. .
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2017
Publisher
Springer Verlag, Japan Japan
Number of pages
100
Condition
New
Series
SpringerBriefs in Statistics
Number of Pages
59
Place of Publication
Tokyo, Japan
ISBN
9784431555698
SKU
V9784431555698
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Komori, Osamu; Eguchi, Shinto
Osamu Komori, The Institute of Statistical Mathematics, Shinto Eguchi, The Institute of Statistical Mathematics
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