Topics: Statistics, Regression analysis, Forecasting Pages: 2 (286 words) Published: March 7, 2013
* Dobro došli * Abecedni popis * Kolegiji 2011/2012 * Kolegiji preddiplomskog programa na engleskom jeziku BDIB 2011/12 * Business Forecasting| Business Forecasting|
General data|
Course Title|  Business Forecasting|
ECTS credits|  4|
Course Code|  46400|
Type of Course|  Elective|
Year and Semester of Study                   |  Fourth Year / Summer Semester| Course Website|  -|
Department|  Department of Statistics|
Course Coordinator|  Professor Ksenija Dumičić, PhD|
Instructors|  Professor Ksenija Dumičić, PhD|
Assistants|  |
Type of Degree Program|  Undergraduate Business Study Programme| Major|  -|
Hours per Semester|  30|
Language of Instruction|  English|
Class Schedule|  Schedule |
Course Objectives                                                                                                                                                                                                  | |  The course provides a comprehensive introduction to principles and applications of statistical methods of business forecasting. The primary focus is upon developing, applying, and critically evaluating statistical models.| | Course Contents| |

 1.Introduction to forecasting
2.Review of statistical concepts
3. Regression models
4. Simple forecasts - smoothing techniques
5. Time series decomposition.| |
Methods of Instruction| |
 Lectures, tutorials, papers, problem solving, and individual work.| | Required Reading| |
Makridakis, S., Wheelwright, S.C, Hyndman, R.J. (1998). Forecasting: Methods and Applications. 3rd Edt., New York: John Wiley & Sons. – selected chapters Hanke, J.E., Wichern, D.W. (2009). Business Forecasting. 9th Edt., New Jersey: Pearson, Prentice Hall. –selected chapters McClave, J.T., Benson, P.G., Sincich, T. (2011). Statistics for Business and Economics. 11th Edt., New Jersey: Pearson, Prentice Hall. – selected chapters|...
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