Modeling and Predicting Cumulative Population of Bangladesh

Type Journal Article - American Journal of Computational and Applied Mathematics
Title Modeling and Predicting Cumulative Population of Bangladesh
Author(s)
Volume 1
Issue 2
Publication (Day/Month/Year) 2011
Page numbers 98-100
URL http://article.sapub.org/10.5923.j.ajcam.20110102.19.html
Abstract
The purpose of the present study is to build up some mathematical models for male and female forward cumulative population of . For this, the secondary data for population of have been taken from census of 2001. To check up the validity of the models, the model validation technique, cross-validity prediction power (CVPP), is employed in this paper. It is seen that male and female forward cumulative population of follow four parameters polynomial model. It is found that the parameters of these fitted models are highly significant with large proportion of variance explained. Moreover, these models are stable more than 99%. The stability of R2 of these models is more than 99%. Hence, the fittings of these models are well.

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