STA 3303 Statistics for Climate Research

STAFFING:

REQUISITES:

RATIONALE:

A significant amount of climate research is statistically based. A climatologist should therefore have a breadth of statistical training, particularly in those methods prominent in climatological research.

SYNOPSIS:

This course extends the statistical methods learnt in previous statistics courses to include higher level methods applicable to climatology. The course introduces students to time series and forecasting and multivariate analysis, with an emphasis on the application of the methods.

OBJECTIVES:

On completion of this course students will be able to:

1. demonstrate understanding of various times series and forecasting techniques, including: fitting AR models; fitting MA models; fitting ARMA models; the ACF; the PACF; diagnostic testing; the backshift operator; Markov chains;
2. correctly apply time series and forecasting techniques to data, especially climatological data;
3. recognize which time series and forecasting techniques may be applicable in given situations;
4. demonstrate an understanding of the following multivariate analysis techniques: principal components analysis; factor analysis; cluster analysis; discriminant analysis;
5. correctly apply multivariate analysis techniques to data, especially climatological data;
6. demonstrate skill and knowledge using the R statistical software package to perform appropriate statistical analysis.

TOPICS:

TEXT and MATERIALS required to be PURCHASED or accessed:

ALL textbooks and materials are available for purchase from USQ BOOKSHOP (unless otherwise stated). Orders may be placed via secure internet, free fax 1800642453, phone 07 46312742 (within Australia), or mail. Overseas students should fax +61 7 46311743, or phone +61 7 46312742. For costs, further details, and internet ordering, use the 'Textbook Search' facility at http://bookshop.usq.edu.au click 'Semester', then enter your 'Course Code' (no spaces).

Department of Mathematics and Computing CDROM SET 1, 2004 (available from the USQ Bookshop). This CD set contains course material Windows and Linux software relevant to this course offering only. For more information about the CD sets and their use, please refer to http://www.sci.usq.edu.au/cdrom and the course web site.

REFERENCE MATERIALS:

STUDENT WORKLOAD REQUIREMENTS:

ASSESSMENT DETAILS:

NOTES:

1.

Students will be advised regarding this assessment at the commencement of the course.

IMPORTANT ASSESSMENT INFORMATION

1. Attendance requirements:
   It is the students' responsibility to attend and participate appropriately in all activities (such as lectures, tutorials, laboratories and practical work) scheduled for them, and to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of course-related activities and administration.
2. Requirements for students to complete each assessment item satisfactorily:
   To complete each of the assessment items satisfactorily, students must obtain at least 50% of the marks available for each assessment item.
3. Penalties for late submission of required work:
   If students submit assignments after the due date without prior approval then a penalty of 10% of the total marks gained by the student for the assignment will apply for each working day late.
4. Requirements for student to be awarded a passing grade in the course:
   To be assured of receiving a passing grade a student must submit all of the summative assessment items and achieve at least 50% of the available marks for those items.
5. Method used to combine assessment results to attain final grade:
   The final grades for students will be assigned on the basis of the aggregate of the weighted marks obtained for each of the summative assessment items in the course.
6. Examination information:
   There is no examination in this course.
7. Examination period when Deferred/Supplementary examinations will be held:
   There will be no Deferred or Supplementary examinations in this course.
8. University Regulations:
   Students should read USQ Regulations 5.1 Definitions, 5.6. Assessment, and 5.10 Academic Misconduct for further information and to avoid actions which might contravene University Regulations. These regulations can be found at the URL http://www.usq.edu.au/corporateservices/calendar/part5.htm or in the current USQ Handbook.

ASSESSMENT NOTES