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Rankings and preferences = new resul...

Costa, Joaquim Pinto da.

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Rankings and preferences = new results in weighted correlation and weighted principal component analysis with applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Rankings and preferences/ by Joaquim Pinto da Costa.
其他題名:	new results in weighted correlation and weighted principal component analysis with applications /
作者:	Costa, Joaquim Pinto da.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
面頁冊數:	x, 91 p. :ill., digital ;24 cm.
內容註:	Introduction -- The Weighted Rank Correlation Coefficient rW -- The Weighted Rank Correlation Coefficient rW2 -- A Weighted Principal Component Analysis, WPCA1: Application to Gene Expression Data -- A Weighted Principal Component Analysis (WPCA2) for Time Series Data -- Weighted Clustering of Time Series -- Appendix -- References.
Contained By:	Springer eBooks
標題:	Correlation (Statistics) -
電子資源:	http://dx.doi.org/10.1007/978-3-662-48344-2
ISBN:	9783662483442

Rankings and preferences = new results in weighted correlation and weighted principal component analysis with applications /
Costa, Joaquim Pinto da.

Rankings and preferencesnew results in weighted correlation and weighted principal component analysis with applications /[electronic resource] :by Joaquim Pinto da Costa. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - x, 91 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-544X. - SpringerBriefs in statistics..

Introduction -- The Weighted Rank Correlation Coefficient rW -- The Weighted Rank Correlation Coefficient rW2 -- A Weighted Principal Component Analysis, WPCA1: Application to Gene Expression Data -- A Weighted Principal Component Analysis (WPCA2) for Time Series Data -- Weighted Clustering of Time Series -- Appendix -- References.

This book examines in detail the correlation, more precisely the weighted correlation, and applications involving rankings. A general application is the evaluation of methods to predict rankings. Others involve rankings representing human preferences to infer user preferences; the use of weighted correlation with microarray data and those in the domain of time series. In this book we present new weighted correlation coefficients and new methods of weighted principal component analysis. We also introduce new methods of dimension reduction and clustering for time series data, and describe some theoretical results on the weighted correlation coefficients in separate sections.

ISBN: 9783662483442

Standard No.: 10.1007/978-3-662-48344-2doiSubjects--Topical Terms:

529832
Correlation (Statistics)

LC Class. No.: HA31.3

Dewey Class. No.: 519.536

Rankings and preferences = new results in weighted correlation and weighted principal component analysis with applications /
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