Use the Tab and Up, Down arrow keys to select menu items.
Analysis of sequentially collected data including data modelling and forecasting techniques.
STAT317/ECON323 and STAT456/ECON614 are courses in Time Series Analysis. These courses introduce to the analysis of repeated observations over time, a type of data extremely common in every discipline. These courses are suited to anyone with an interest in analysing data. We cover a wide range of topics, from the basic decomposition of a time series to advance topics such as spectral analysis.The methods explained during the lectures are complemented by practical computer lab tutorials which make use of the software R, one of the preferred computer packages by many statisticians. In these courses we will show you how to use the package, enter, manipulate and analyse time series data in R.
The courses will:define time series data in an appropriate statistical frameworkintroduce to both basic and advanced methods in time series analysisgive you experience in writing scientific and technical reports You will be able todescribe and conduct appropriate statistical modeling techniques for time series databe able to interpret the model results in such a way that a non-user of statistics can understanduse R competentlywrite a scientific and technical report
(1) ECON213; and (2) ECON202 or FINC205
FINC323, STAT317
Patrick W Saart
The course is assessed by three assignments, each worth 20% ( total 60%) and a final exam (40%).Assignments give you practice in analysing data and presenting results in a written report. You will be expected to use R for analysis.The assignments will involve time and effort, but are an opportunity for you to learn not only statistical modeling techniques, but to develop your writing skills. We discuss how to write a report during lectures, and provide considerable support especially for students who have not had the chance to develop their scientific writing skills.
Recommended Reference:Shumway, R.H. and Stoffer, D.S. 2010. Time Series Analysis and Its Applications: With R Examples
STAT317 Homepage General information for students Library portal LEARN
Domestic fee $737.00
International fee $3,125.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Department of Economics and Finance .