Keywords and phrases: ARIMA, Holt’s method, Saudi vision 2030, life expectancy at birth, world development indicators, forecasting, time-series.
Received: May 18, 2022; Revised: July 4, 2022; Accepted: July 11, 2022; Published: August 3, 2022
How to cite this article: Randa Alharbi and Dalia Kamal Alnagar, Forecasting life expectancy at birth using time series and Holt’s method in Saudi Arabia according to Saudi vision 2030, Advances and Applications in Statistics 79 (2022), 121-130. http://dx.doi.org/10.17654/0972361722063
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
References:
[1] M. A. Din, ARIMA by Box Jenkins methodology for estimation and forecasting models in higher education, Proceedings of the ATINER’s Conference Paper Series, Athens, Greece, 2015, pp. 17-18. [2] H. L. Shang, Point and interval forecasts of age-specific life expectancies: a model averaging approach, Demogr. Res. 27 (2012), 593-644. [3] K. Burnham and D. Anderson, Model Selection and Multimodel Inference, 2nd ed., Springer, 2002. [4] J. M. Alho and B. D. Spencer, Statistical Demography and Forecasting, New York, Springer, 2005, pp. 198-216. [5] H. Booth, Demographic forecasting: 1980 to 2005 in review, Int. J. Forecast. 22 (2006), 547-581. [6] E. M. Hussein and E. Mohamed, Trend of life expectancy, Sudan Int. J. Sci. Res. 4(2) (2015), 2375-2379. [7] T. Torri and J. W. Vaupel, Forecasting life expectancy in an international context, Int. J. Forecast. 28(2) (2012), 519-531. [8] A. Ntamjokouen, S. Haberman and G. Consigli, Modeling multi-population life expectancy: a cointegration approach, Insurance Markets and Companies: Analyses and Actuarial Computations 5(2) (2014), 12-23. [9] X. Cao, Y. Hou, X. Zhang, C. Xu, P. Jia, X. Sun and Y. Wang, A comparative, correlate analysis and projection of global and regional life expectancy, healthy life expectancy, and their GAP: 1995-2025, J. Glob. Health 10(2) (2020), 020407. [10] G. E. Box and G. M. Jenkins, Time Series Analysis: Forecasting and Control, Holden-Day, San Francisco, 1976. [11] N. Kurniasih, A. S. Ahmar, D. R. Hidayat, H. Agustin and E. Rizal, Forecasting infant mortality rate for China: a comparison between α-Sutte indicator, ARIMA, and Holt-Winters, J. Phys.: Conf. Ser. 1028(1) (2018), 012195. [12] M. As’ad, Finding the best ARIMA Model to forecast daily peak electricity demand, Proceedings of the Fifth Annual ASEARC Conference, 2012. [13] I. Naim and T. Mahara, Comparative analysis of univariate forecasting techniques for industrial natural gas consumption, International Journal of Image, Graphics and Signal Processing 10(5) (2018), 33-44.
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