Statistical Methods for Imbalanced Data in Ecological and Biological Studies (SpringerBriefs in Statistics) - Softcover
Synopsis
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.
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About the Author
Osamu Komori, The Institute of Statistical Mathematics,
Shinto Eguchi, The Institute of Statistical Mathematics
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Statistical Methods for Imbalanced Data in Ecological and Biological Studies
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 68 pp. Englisch. Seller Inventory # 9784431555698
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Osamu Komori, The Institute of Statistical Mathematics, Shinto Eguchi, The Institute of Statistical MathematicsThis book presents a fresh, new approach in that it provides a comprehensive recent review of challenging problems caused by imba. Seller Inventory # 38736129
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Statistical Methods for Imbalanced Data in Ecological and Biological Studies
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Focuses on the problem caused by imbalanced data often observed in ecology and biologyIntroduces the latest statistical methods for imbalanced dataDemonstrates the application of statistical methods to several real data setsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 68 pp. Englisch. Seller Inventory # 9784431555698