STATS52219B (HAM)
Statistical Inference
30 Points
Staff
Convenor(s)
Bob Durrant
8334
G.3.31
To be advised
bob.durrant@waikato.ac.nz

Lecturer(s)
Bob Durrant
8334
G.3.31
To be advised
bob.durrant@waikato.ac.nz

Chaitanya Joshi
4019
G.3.22
To be advised
chaitanya.joshi@waikato.ac.nz

Administrator(s)
Librarian(s)
You can contact staff by:
 Calling +64 7 838 4466 select option 1, then enter the extension.

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 For extensions starting with 4: dial +64 7 838 extension.
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Paper Description
Paper Structure
The methods of instruction will include lecturing, selfstudy, discussions and cooperative learning. In addition to directed reading, students will be expected to find additional material on the topic (books in the library, internet, etc) by themselves. Lecturers will be available (by appointment) for guidance or help.
Participation
As a practising statistician it is important to be able to give constructive criticism or to explain what one knows to others, therefore as part of this paper students may be asked to take part in discussions or short presentations. Students will be expected to critically evaluate topics e.g. by posing questions, making comments, and/or examining examples or framing thought experiments during these presentations and discussions, although there will be no formal assessment or course credit for such participation.
In order to develop a fuller understanding of statistical inference, students are also encouraged to initiate discussions and to question and critique aspects of statistical methodology under consideration (and the assumptions behind them) both by themselves and during contact hours.
Learning Outcomes
Students who successfully complete the course should be able to:
Assessment
 There are three assignments to be completed, each worth 1/3 of the final grade.
 Due dates are approximate and may change depending on progress with the course material.
 Assignments are to be handed to the lecturer at the start of the lecture on the day they are due.
 Expected turnaround for marking is no more than two weeks.
Assessment Components
The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam.
Required and Recommended Readings
Recommended Readings
Probability and Random Processes  Grimmett and Stirzaker, Third edition, Oxford University Press.
Multivariate Analysis  Mardia, Kent and Bibby, Academic Press.
We will dip into these texts from time to time, but they are not mandatory and the appropriate material will be covered in lectures. Both are available from the university library.
Online Support
Workload
Linkages to Other Papers
Prerequisite(s)
Admission is at the discretion of the Chairperson of Department.
Restriction(s)
Restricted papers: STAT422, STAT522