Statistical Methods for Imbalanced Data in Ecological and Biological Studies - Couverture souple

Komori, Osamu

9784431555698: Statistical Methods for Imbalanced Data in Ecological and Biological Studies

Couverture souple

ISBN 10 : 4431555692 ISBN 13 : 9784431555698

Editeur : Springer, 2019

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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

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l?auteur

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

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2019
Langue: anglais
ISBN 10: 4431555692
ISBN 13: 9784431555698
Reliure: Broch�
Nombre de pages: 68
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
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Komori, Osamu

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Komori, Osamu

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Statistical Methods for Imbalanced Data in Ecological and Biological Studies (SpringerBriefs in Statistics)

Komori, Osamu

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Statistical Methods for Imbalanced Data in Ecological and Biological Studies

Shinto Eguchi

Edit� par Springer Japan Jul 2019, 2019

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9784431555698

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Statistical Methods for Imbalanced Data in Ecological and Biological Studies (SpringerBriefs in Statistics)

Komori, Osamu

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ISBN 10 : 4431555692 ISBN 13 : 9784431555698

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Statistical Methods for Imbalanced Data in Ecological and Biological Studies (SpringerBriefs in Statistics)

Komori, Osamu

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Statistical Methods for Imbalanced Data in Ecological and Biological Studies

Komori, Osamu/ Eguchi, Shinto

Edit� par Springer Verlag, 2019

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Statistical Methods for Imbalanced Data in Ecology and Biology

Osamu Komori|Shinto Eguchi

Edit� par Springer Japan, 2019

ISBN 10 : 4431555692 ISBN 13 : 9784431555698

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Osamu Komori, The Institute of Statistical Mathematics,&nbspShinto 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. N� de r�f. du vendeur 38736129

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Statistical Methods for Imbalanced Data in Ecological and Biological Studies

Shinto Eguchi

Edit� par Springer Japan, Springer Japan Jul 2019, 2019

ISBN 10 : 4431555692 ISBN 13 : 9784431555698

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 68 pp. Englisch. N� de r�f. du vendeur 9784431555698

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