The biggest challenge in the world is population growth and determining how society and the state adapt to it as it directly affects the fundamental human rights such as food, clothing, housing, education, medical care, etc. The population estimates of any country play an important role in making the right decision about socio-economic and population development projects. Unpredictable population growth can be a curse. The purpose of this research article is to compare the accuracy process and proximity of three mathematical model such as Malthusian or exponential growth model, Logistic growth model and Least Square model to make predictions about the population growth of Bangladesh and India at the end of 21st century. Based on the results...
The paper aims at examining the socio-demographic changes over years and their impact on the future ...
Employing annual time series data on total population in India from 1960 to 2017, we model and forec...
Abstract. Population of Bangladesh has been predicted with the help of an ordinary differential equa...
Abstract Compared to many other nations, Bangladesh has a higher population density. Although popul...
Bangladesh is the 2nd fastest growing country in the world in 2016 with 7.1% GDP growth. This study ...
Bangladesh is the 2nd fastest growing country in the world in 2016 with 7.1% GDP growth. This study ...
Bangladesh is the 2nd fastest growing country in the world in 2016 with 7.1% GDP growth. This study ...
Bangladesh is the 2nd fastest growing country in the world in 2016 with 7.1% GDP growth. This study ...
Bangladesh is the 2nd fastest growing country in the world in 2016 with 7.1% GDP growth. This study ...
Bangladesh is the 2nd fastest growing country in the world in 2016 with 7.1% GDP growth. This study ...
Employing annual time series data on total population in Bangladesh from 1960 to 2017, I model and f...
Cross countries studies on the relationship between economic growth and population growth is inconsi...
Employing annual time series data on total population in Bangladesh from 1960 to 2017, I model and f...
The paper aims at examining the socio-demographic changes over years and their impact on the future ...
Employing annual time series data on total population in India from 1960 to 2017, we model and forec...
The paper aims at examining the socio-demographic changes over years and their impact on the future ...
Employing annual time series data on total population in India from 1960 to 2017, we model and forec...
Abstract. Population of Bangladesh has been predicted with the help of an ordinary differential equa...
Abstract Compared to many other nations, Bangladesh has a higher population density. Although popul...
Bangladesh is the 2nd fastest growing country in the world in 2016 with 7.1% GDP growth. This study ...
Bangladesh is the 2nd fastest growing country in the world in 2016 with 7.1% GDP growth. This study ...
Bangladesh is the 2nd fastest growing country in the world in 2016 with 7.1% GDP growth. This study ...
Bangladesh is the 2nd fastest growing country in the world in 2016 with 7.1% GDP growth. This study ...
Bangladesh is the 2nd fastest growing country in the world in 2016 with 7.1% GDP growth. This study ...
Bangladesh is the 2nd fastest growing country in the world in 2016 with 7.1% GDP growth. This study ...
Employing annual time series data on total population in Bangladesh from 1960 to 2017, I model and f...
Cross countries studies on the relationship between economic growth and population growth is inconsi...
Employing annual time series data on total population in Bangladesh from 1960 to 2017, I model and f...
The paper aims at examining the socio-demographic changes over years and their impact on the future ...
Employing annual time series data on total population in India from 1960 to 2017, we model and forec...
The paper aims at examining the socio-demographic changes over years and their impact on the future ...
Employing annual time series data on total population in India from 1960 to 2017, we model and forec...
Abstract. Population of Bangladesh has been predicted with the help of an ordinary differential equa...