FORECASTING THE NUMBER OF AUDITORS FOR THE SPECIALIZED DENTAL CENTER IN BABYLON USING TIME SERIES
Keywords:
these, Dental, Babylon, concernedAbstract
The Specialized Dental Center in Babylon is considered one of the important centers in the urban time, and the rate of auditors for this center is remarkably high, and annual plans must be drawn up by those concerned to accommodate these numbers. This study aimed to develop standard models to predict the number of auditors expected to arrive at the specialized center to use the Box Jenkins methodology
References
KDD Cup 2003, http://www.cs.cornell.edu/projects/kddcup/index.html.
J. Srivastava, P. Desikan and V. Kumar, “Web Mining – Accomplishments and Future Directions”, Invited paper in National Science Foundation Workshop on Next Generation Data Mining, Baltimore, MD, Nov. 1-3, 2002.
NIST/SEMATECH e-Handbook of Statistical Methods, http://www.itl.nist.gov/div898/handbook/
P. Desikan, J. Srivastava, V. Kumar, P.-N. Tan, “Hyperlink Analysis – Techniques & Applications”, Army High Performance Computing Center Technical Report, 2002.
J.T. McClave, P.G. Benson and T. Sincich, “Statistics for Business and Economics”, Prentice Hall, 2001
Google Inc, http://www.google.com/
G. E. P Box, G. M. Jenkins, and G. C. Reinsel. (1994).Time Series Analysis, Forecasting and Control, 3rd ed. Prentice Hall, Englewood Clifs, NJ.
R.Yaffee “A. Introduction to time series analysis and forecasting with applications of SAS and SPSS /.” San Diego: Academic Press, c2000.
C. Chatfield, “The Analysis of Time Series – An Introduction”, Chapman and Hall , 1996.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.