EAN: 9783662483435

SPRINGERBRIEFS IN STATISTICS RANKINGS AND PRE...

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.

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