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Year:

QM264 Introduction to Business Forecasting

Updated: 09 November 2009
Credit Points 6
Offering
Responsible Campus Teaching Period Mode of Study Online Level
Armidale Semester 1 On Campus C - Internet access required
Armidale Semester 1 Off Campus C - Internet access required
Intensive School(s) None
Supervised Exam There is a UNE Supervised Examination held at the end of the teaching period in which you are enrolled.
Pre-requisites 24cp and QM161
Co-requisites None
Restrictions QM230 or QM330 or QM364
Notes None
Combined Units QM364 - Introduction to Business Forecasting
Coordinator(s) Pauline Fleming (pfleming@une.edu.au)
Unit Description

Emphasis is on applications to business forecasting using real data sets (commodity prices, sales, stock exchange) in examples and exercises. Topics include: simple and multiple regression models; time series regression (ie trend and seasonal variation); decomposition methods; exponential smoothing; forecasting with Box-Jenkins models.

Materials Text information will be published prior to commencement of the teaching period.
Disclaimer Offer of some subjects is subject to viability. Information in these unit descriptions is subject to change prior to commencement of semester.
   

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