STAT456-19S2 (C) Semester Two 2019

Time Series and Stochastic Processes

15 points

Details:
Start Date: Monday, 15 July 2019
End Date: Sunday, 10 November 2019
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 26 July 2019
  • Without academic penalty (including no fee refund): Friday, 27 September 2019

Description

Time Series and Stochastic Processes

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 analyzing 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 soware 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 analyze time series data in R.

Prerequisites

Subject to approval of the Head of School.

Restrictions

ECON663, ECON614

Course Coordinator / Lecturer

Fabian Dunker

Lecturer

Carl Scarrott

Indicative Fees

Domestic fee $969.00

* 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 Mathematics and Statistics .

All STAT456 Occurrences

  • STAT456-19S2 (C) Semester Two 2019
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