A Data-Driven Approach to Forecasting Bangladesh Next-Generation Economy
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0047-3_6
Reference21 articles.
1. Jahan N (2021) Predicting economic performance of Bangladesh using Autoregressive Integrated Moving Average (ARIMA) model. J Appl Finance Banking 11(2):129–148
2. Jamir I (2020) Forecasting potential impact of COVID-19 outbreak on India's GDP using ARIMA model. Available at SSRN 3613724
3. Chowdhury IU, Khan MA (2015) The impact of climate change on rice yield in Bangladesh: a time series analysis. Russian J Agric Socio-Econom Sci 40(4):12–28
4. Rubi MA, Bijoy HI, Bitto AK (2021) Life expectancy prediction based on GDP and population size of Bangladesh using multiple linear regression and ANN model. In: 2021 12th international conference on computing communication and networking technologies (ICCCNT), pp 1–6. https://doi.org/10.1109/ICCCNT51525.2021.9579594
5. Hassan HM (2020) Modelling GDP for Sudan using ARIMA. Available at SSRN 3630099
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