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Research Paper | Statistics | Saudi Arabia | Volume 4 Issue 2, February 2015 | Popularity: 6.7 / 10
Trend of Life Expectancy in Sudan
Dr. Elfarazdag Mahjoub Mohammed Hussein, Dr. Elsiddig Edriss Mohamed
Abstract: The main objective of this paper is to construct a time series model to monitor and forecast the life expectancy at birth in Sudan. To achieve this objective, a series of life expectancy at birth ranged from 1990 to 2013 was obtained from the Sudan Central Bureau of statistics and United Nation Annual Reports, time series analysis technique mainly box and Jenkins were used to find the required model. Analysis done by e-views package. The paper conclude that The most proper time series model to forecast the life expectancy at birth in Sudan is the ARIMA model, The highest forecasted Life Expectancy at Birth in the Sudan for the coming ten years will be attained in year 2023 as 66.4835 years and finally The life expectancy at Birth in Sudan is increasing at a decreasing rate.
Keywords: Life expectancy, life expectancy index, box and Jenkins, auto regressive moving average Sudan
Edition: Volume 4 Issue 2, February 2015
Pages: 2375 - 2379
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Statistics, Nepal, Volume 3 Issue 6, June 2014
Pages: 161 - 166Accelerated Failure Time Models: An Application in the Survival of Acute Liver Failure Patients in India
Shankar Prasad Khanal, V. Sreenivas, Subrat K. Acharya
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Statistics, India, Volume 8 Issue 5, May 2019
Pages: 35 - 39The Implementation of Total Quality Management (TQM) as a Function of Improving Quality in Educational Institutions
Rallabandi Srinivasu, G.V.S.R. Anjaneyulu
Downloads: 234 | Views: 451 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Statistics, Kenya, Volume 8 Issue 5, May 2019
Pages: 66 - 69Survival Analysis of Cancer Patients Using Weibull Parametric Model
Wilson Kiprotich Chepkech, Joel Cheruiyot Chelule, Ayubu Anapapa, Herbert Imboga
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Statistics, India, Volume 9 Issue 3, March 2020
Pages: 1201 - 1204Customer Relationship Management (CRM) Viewed by and Analysed by Probability Distribution
Kamlesh L Patel, Dr. Sanjay G Raval, Dr. S R Patel
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Statistics, Congo, Volume 8 Issue 4, April 2019
Pages: 85 - 95Modeling Tax Revenues Using Kernel Approach Case Study: North Kivu Province (Democratic Republic of Congo) Tax Revenues Time Series Forecasting
Byamungu Wanguwabo David