Abstract
The purpose of the present study is to construct statistical models to life expectancy at exact age x (ex) for aged male and female population of Bangladesh. And also study differentials, patterns and trends of aged life expectancy at exact age x (ex) for male and female population of Bangladesh. For that rationale, the secondary data of life expectancy at exact age x (ex) for aged male and female population of Bangladesh have been used in this study. To prove the soundness of the model, the model validation technique, cross-validity prediction power (CVPP), is applied. It is seen that simple linear regression model is fitted to life expectancy for aged male and female population of Bangladesh with explaining more than 98% proportion of variation and more than 97% stability of each model.
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