Employing annual time series data on total population in India from 1960 to 2017, we model and forecast total population over the next 3 decades using the Box – Jenkins ARIMA technique. Diagnostic tests show that Indian annual total population data is I (2). Based on both the AIC and Theil’s U, the study presents the ARIMA (1, 2, 3) model. The diagnostic tests further confirm that the presented model is stable and quite acceptable. The results of the study reveal that total population in India will continue to sharply rise in the next three decades, thereby posing a threat to both natural and non-renewable resources. In order to deal with the threats posed by a large population in India, the study recommends family planning practices amongs...
Employing annual time series data on total population in Botswana from 1960 to 2017, I model and for...
Employing annual time series data on total population in Mexico from 1960 to 2017, we model and fore...
The prevalence of anemia in Indian pregnant women is amongst the highest in the world. Using annual ...
Employing annual time series data on total population in India from 1960 to 2017, we model and forec...
Employing annual time series data on total population in Bangladesh from 1960 to 2017, I model and f...
Employing annual time series data on total population in Pakistan from 1960 to 2017, we model and fo...
Employing annual time series data on total population in Zimbabwe from 1960 to 2017, we model and fo...
Employing annual time series data on total population in Brazil from 1960 to 2017, we model and fore...
Employing annual time series data on total population in Russia from 1960 to 2017, we model and fore...
Using annual time series data on total population in Afghanistan from 1960 to 2017, we model and for...
Using annual time series data on total population in Yemen from 1960 to 2017, we model and forecast ...
Employing annual time series data on total population in China from 1960 to 2017, we model and forec...
The biggest challenge in the world is population growth and determining how society and the state ad...
Using annual time series data on total population in Somalia from 1960 to 2017, we model and forecas...
Employing annual time series data on total population in the USA from 1960 to 2017, we model and for...
Employing annual time series data on total population in Botswana from 1960 to 2017, I model and for...
Employing annual time series data on total population in Mexico from 1960 to 2017, we model and fore...
The prevalence of anemia in Indian pregnant women is amongst the highest in the world. Using annual ...
Employing annual time series data on total population in India from 1960 to 2017, we model and forec...
Employing annual time series data on total population in Bangladesh from 1960 to 2017, I model and f...
Employing annual time series data on total population in Pakistan from 1960 to 2017, we model and fo...
Employing annual time series data on total population in Zimbabwe from 1960 to 2017, we model and fo...
Employing annual time series data on total population in Brazil from 1960 to 2017, we model and fore...
Employing annual time series data on total population in Russia from 1960 to 2017, we model and fore...
Using annual time series data on total population in Afghanistan from 1960 to 2017, we model and for...
Using annual time series data on total population in Yemen from 1960 to 2017, we model and forecast ...
Employing annual time series data on total population in China from 1960 to 2017, we model and forec...
The biggest challenge in the world is population growth and determining how society and the state ad...
Using annual time series data on total population in Somalia from 1960 to 2017, we model and forecas...
Employing annual time series data on total population in the USA from 1960 to 2017, we model and for...
Employing annual time series data on total population in Botswana from 1960 to 2017, I model and for...
Employing annual time series data on total population in Mexico from 1960 to 2017, we model and fore...
The prevalence of anemia in Indian pregnant women is amongst the highest in the world. Using annual ...