Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/11172
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dc.contributor.authorMishra, P. N.
dc.date.accessioned2012-09-27T04:59:35Z
dc.date.available2012-09-27T04:59:35Z
dc.date.copyright1978-11
dc.date.issued2012-09-27T04:59:35Z
dc.identifier.urihttp://hdl.handle.net/11718/11172
dc.description.abstractThe problem of constructing composite indices has most often been tackled by using principal components in several disciplines. The approach, however, has some vital weaknesses. The paper suggests a method of constructing composites indices based upon full information contained in the data set. The method is also free from major defects of the method of principal components. The proposed method is amenable to simple statistical tests and provides a natural extension of the concept of centroid to statically dependent constituent variables. The method is definitely a better substitute of the method of principal components and factor analysis.en
dc.language.isoenen
dc.relation.ispartofseriesWP;1978/253
dc.titleFull Information Based Composite Indices – A Better Alternative to Principal Componentsen
dc.typeWorking Paperen
Appears in Collections:Working Papers

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