An inquiry into financial distress prediction models, using discriminant and stepwise regression analysis, as a tool for efficient profit management among a select group of manufacturing companies in the Philippines

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Bibliographic Details
Main Authors:	Chua, Melissa O., Escalona, Ma. Angela N., Tayag, Voltaire E.
Format:	text
Language:	English
Published:	Animo Repository 1993
Subjects:	Economics > Mathematical models Discriminant analysis Regression analysis Corporate profits Business enterprises > Finance Managerial economics Profits
Online Access:	https://animorepository.dlsu.edu.ph/etd_bachelors/6774
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Institution:	De La Salle University
Language:	English

id	oai:animorepository.dlsu.edu.ph:etd_bachelors-7418
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:etd_bachelors-74182021-07-23T10:20:56Z An inquiry into financial distress prediction models, using discriminant and stepwise regression analysis, as a tool for efficient profit management among a select group of manufacturing companies in the Philippines Chua, Melissa O. Escalona, Ma. Angela N. Tayag, Voltaire E. 1993-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/6774 Bachelor's Theses English Animo Repository Economics--Mathematical models Discriminant analysis Regression analysis Corporate profits Business enterprises--Finance Managerial economics Profits
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
language	English
topic	Economics--Mathematical models Discriminant analysis Regression analysis Corporate profits Business enterprises--Finance Managerial economics Profits
spellingShingle	Economics--Mathematical models Discriminant analysis Regression analysis Corporate profits Business enterprises--Finance Managerial economics Profits Chua, Melissa O. Escalona, Ma. Angela N. Tayag, Voltaire E. An inquiry into financial distress prediction models, using discriminant and stepwise regression analysis, as a tool for efficient profit management among a select group of manufacturing companies in the Philippines
format	text
author	Chua, Melissa O. Escalona, Ma. Angela N. Tayag, Voltaire E.
author_facet	Chua, Melissa O. Escalona, Ma. Angela N. Tayag, Voltaire E.
author_sort	Chua, Melissa O.
title	An inquiry into financial distress prediction models, using discriminant and stepwise regression analysis, as a tool for efficient profit management among a select group of manufacturing companies in the Philippines
title_short	An inquiry into financial distress prediction models, using discriminant and stepwise regression analysis, as a tool for efficient profit management among a select group of manufacturing companies in the Philippines
title_full	An inquiry into financial distress prediction models, using discriminant and stepwise regression analysis, as a tool for efficient profit management among a select group of manufacturing companies in the Philippines
title_fullStr	An inquiry into financial distress prediction models, using discriminant and stepwise regression analysis, as a tool for efficient profit management among a select group of manufacturing companies in the Philippines
title_full_unstemmed	An inquiry into financial distress prediction models, using discriminant and stepwise regression analysis, as a tool for efficient profit management among a select group of manufacturing companies in the Philippines
title_sort	inquiry into financial distress prediction models, using discriminant and stepwise regression analysis, as a tool for efficient profit management among a select group of manufacturing companies in the philippines
publisher	Animo Repository
publishDate	1993
url	https://animorepository.dlsu.edu.ph/etd_bachelors/6774
_version_	1707058999933796352

An inquiry into financial distress prediction models, using discriminant and stepwise regression analysis, as a tool for efficient profit management among a select group of manufacturing companies in the Philippines

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