Forecasting Methods Based on Time Series for Sales of Antiulcer Drugs

Authors

  • Delia CACUCI Medical Informatics and Biostatistics Dept., University of Medicine and Pharmacy “Iuliu Haţieganu”, Cluj-Napoca
  • Mihaela IANCU Medical Informatics and Biostatistics Dept., University of Medicine and Pharmacy “Iuliu Haţieganu”, Cluj-Napoca
  • Andrei ACHIMAȘ CADARIU Medical Informatics and Biostatistics Dept., University of Medicine and Pharmacy “Iuliu Haţieganu”, Cluj-Napoca

Keywords:

Forecasting, Antiulcer drugs, ARIMA.

Abstract

The aim of this article is to present a few methods about the forecasting process using time series. The application was made on the sales of antiulcer drugs, ranitidine and omeprazol, using the monthly past values of the sales. The best method used in forecasting of the sales is ARIMA models.

Published

19.05.2011

How to Cite

1.
CACUCI D, IANCU M, ACHIMAȘ CADARIU A. Forecasting Methods Based on Time Series for Sales of Antiulcer Drugs. Appl Med Inform [Internet]. 2011 May 19 [cited 2024 Apr. 19];14(1, 2):22-6. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/217

Issue

Vol. 14 No. 1, 2 (2004)

Section

Articles

License

 Creative Commons License
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