2026-10-24T07:57:24Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/00008959 2024-05-27T03:51:38Z 1582963436320 1582963436320:1707206634013

Principal Component Analysis of Infant Mprtality in Myanmar (Hsu Hlaing Phyo, 2018) Hsu Hlaing Phyo Infant mortality rate is considered as sensitive indicators of living standard and socio-economic conditions of a country. This study discusses the interdependency and relationship between infant mortality rate and some variables of demographic, socioeconomic and housing characteristics for 54 townships in Myanmar by applying principal component analysis to determine the interdependency of these variables. The analysis produces three main components charactering each by household's education status, trban society and economic status. In order to find out the effect on infant mortality rate, multiple regression analysis technique is applied by using dominated principal components as independent variables, and infant mortality rate as dependent variable. Regression analysis explained 72.4% of total variation of infant mortality rate in Myanmar, so it is concluded that variables on household's education stafus, living in urban areas, and economic status in household could be main factors for detertnining the infant motrality rate in Myanmar" 2018-05-01 https://meral.edu.mm/records/8959