Mokhtar Mahdiyah, Wan Norsiah Mohamed, Kamarulzaman Ibrahim
In this study, quantiles regression approach is applied to the data of Malaysian Family Life Survey (MFLS), to identify factors which are significantly related to the different conditional quantiles of the breastfeeding duration. It is known that the classical linear regression methods are based on minimizing residual sum of squared, but quantiles regression use a mechanism which are based on the conditional median function and the full range of other conditional quantile functions. Overall, it is found that the period of breastfeeding is significantly related to place of living, religion and total number of children in the family. ©2008 Asian Network for Scientific Information.
Department of Home Economics, Faculty of Technology, Universitas Negeri Jakarta, Rawamangun-Jakarta, Timur 13220, Indonesia; School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia; 42700 Banting, Selangor, No. 48 Jalan Jentayu, Kawasan 5, Malaysia
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