Discriminant analysis between sick and healthy units

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/1336

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DC Field	Value	Language
dc.contributor.author	Bhattacharya, C. D.
dc.date.accessioned	2010-03-18T11:06:22Z
dc.date.available	2010-03-18T11:06:22Z
dc.date.copyright	1980-07
dc.date.issued	2010-03-18T11:06:22Z
dc.identifier.uri	http://hdl.handle.net/11718/1336
dc.description.abstract	The study is concerned with the application of Multiple Discriminant Analysis in order to identify the different variables which explain the phenomenon of sickness of industrial units, their relative contribution in determining the propensity of sickness, as also to suggest a possible cost-off point which may separate the units belonging to the sickness class from whose belonging to the healthy ones. For purposes of the present study, out of a total of 91 industrial units listed as sick by the IDBI in its portfolio, a sample of 20 units belonging to six different industry classes has been drawn. Likewise a list of 26 healthy industrial units belonging to the same set of industry classes has been drawn so as to develop the discriminant function separating sick units from the healthy ones.	en
dc.language.iso	en	en
dc.relation.ispartofseries	WP;1980/321
dc.subject	Discriminant Analysis	en
dc.title	Discriminant analysis between sick and healthy units	en
dc.type	Working Paper	en
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