Forecasting the numbers of cardiac diseases patients by using Box-Jenkins model in time series analysis

Document Type : Research Paper

Author

Mathematic Department - College of Basic Education, Misan University, Iraq

Abstract

The aim of this study is analysis time series with using (Box and Jenkins ) method by identification , estimation, diagnosis, checking of model ,forecasting to find the beast forecasting model to the number of patient  with cardiac in Misan province by using the monthly data of the period (2005-2016)  by using SPSS version (26).The result of data analysis show that the  proper and suitable model is  Autoregression of order ARIMA (1,1,0) .According to this model the study forecast the numbers of patients with cardiac diseases the next years in monthly , so the forecasting values represented the scours time series data  that deal to the efficiency of the model.

Keywords

[1] Cardiovascular Disease Foundation. What is Cardiovascular Disease?, Available athttp://www.cvdf.org/. Date Accessed: September 19, 2011.
[2] National Heart, Lung, and Blood Institute. What Is Heart Disease?, Available at https://www.nhlbi.nih.gov/ health/health-topics/topics/hdw/. Date Accessed: September 19, 2011.
[3] P. J. Brockwell and R. A. Davis, Time Series: Theory and Methods (2nd ed.). New York: Springer-Verlag,1991 .
[4] J. Crosbie and C. F. Sharpley, DMITSA: A simplified interrupted time-series analysis program. Behavior Research Methods, Instrum. Comput., 21(6) (1989) 639-642.
[5] Bowerman, L. Bruce , R. T. O’Connell and Anne B. Koehler, Forecasting, Time Series, and Regression, 4th ed. Belmont, CA: Thomson Brooks/Cole, 2005.
[6] R. l. Anderson, Distribution of the series Analysis Correlation Coeffficient, Ann, Mat. Statistic, 13(1942) 113-129.
[7] R. Kaiser and A. Maravall , Notes on Time Series Analysis ARIMA Models and Signal Extraction, Benco de Esponaservicio Estudios , 2001.
[8] R. H. SHUMWAY,Applied Statistical Time Series Analysis, First Edition, prentice Hall New Jersey, USA, 1998, P.537.
[9] G.E.P Box and G.M. Jenkins, Time Series Analysis Forecasting and control, Holden Day, London , 1976 .
[10] R. Kaiser and A. Maravall,Notes on Time series Analysis, ARIMA models and signal Extraction, Banco de Espa˜na. Servicio de Estudios, 2001.
Volume 13, Issue 1
March 2022
Pages 1673-1681
  • Receive Date: 02 May 2021
  • Revise Date: 27 July 2021
  • Accept Date: 30 October 2021