Using multiple linear regression to forecast the number of asthmatics

Gabda, Darmesah and Noraini Abdullah, and Kamsia Budin, and C., K. Lim (2008) Using multiple linear regression to forecast the number of asthmatics. In: 2nd WSEAS International Conference on Computer Engineering and Applications, 25-27 January 2008 , Acapulco, Mexico.

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Abstract

The objective of this study was to determine the association between the number of asthmatic patients in Kota Kinabalu, Sabah with the air quality and meteorological factors using multiple linear regression. The main eight independent variables with the fourth order interactions were included in the model. There were 80 possible models considered and the best model was obtained using the eight selection criteria (8SC). The result showed that the best model would represent the cause of the rise in the number of asthmatics modeled by M80.23.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Multiple regression, Eight selection criteria, Fourth-order interaction, Best model, Asthma.
Subjects: ?? RC581-607 ??
Divisions: SCHOOL > School of Science and Technology
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 09 Nov 2011 07:52
Last Modified: 30 Dec 2014 07:00
URI: http://eprints.ums.edu.my/id/eprint/1225

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