The Victorian Branch of the Statistical Society of Australia Inc. (SSAI) is an umbrella group for all statisticians practising in Victoria, and for all non-statisticians with an interest in the field of statistics.
Meetings will be held at The University of Melbourne unless otherwise indicated.
SSAVIC Listserver
A list of members of the Victorian Branch of SSAI has been created on a server at the University of Melbourne. List members can post messages which will be received by all on the list. So, if you need to advertise seminars, workshops, job vacancies, etc., that are relevant to the society's interests, you are welcome to post to the list. The list address is ssavic@puffer.ms.unimelb.edu.au
If you are not a SSAI member and wish to add your name to the list, contact Sue Finch, s.finch@ms.unimelb.edu.au
5:15pm – 6:00pm 2010 AGM of the SSAI with light refreshments in the Staff Tea Room, Richard Berry Building, University of Melbourne.
6:15pm – seminar in the Russell Love Theatre, Richard Berry Building, University of Melbourne.
2010 SSAI AGM
The 2010 AGM of the Statistical Society of Australia, Incorporated will be held in Melbourne in conjunction with the August Victorian branch meeting. This is a separate meeting from the 2010 AGM of the Victorian branch (held in March this year). The 2010 AGM of the Statistical Society of Australia, Incorporated deals with issues for the umbrella organisation.
The AGM will be held from 5:15 pm to 6:00 pm in the Staff Tea Room, in the Richard Berry Building, The University of Melbourne.
A quorum is needed for this meeting.
Please consider attending the AGM to ensure we have a quorum.
Delicious light refreshments will be provided.
Young Statisticians Present ...
Pete Hickey, Minh Huynh, Martin Shield
Pete Hickey - X chromosome testing in genome wide association studies
Genome wide association studies (GWAS) have revealed fascinating insights into the genetics of complex diseases. These studies provide many statistical challenges but one problem that has received surprisingly little attention is the testing of associations between phenotype and genotype on the X chromosome. In this talk I will discuss the particular challenges of the X chromosome and present some results of a simulation study designed to compare several proposed methods for the analysis of X chromosome data.
Pete completed a BSc (Honours) in statistics at the University of Melbourne in 2009. During that time he worked and studied in the Bioinformatics Division at the Walter and Eliza Hall Institute of Medical Research, where he is currently a research assistant in the statistical genetics group. Pete is interested in the development of statistical methods in molecular biology and genetics, with a particular focus on discovering the genetic causes of human disease.
Minh Huynh - Skills Acquistion in Badminton: A Visual Approach to training
Currently, there are a number of training programs that attempt to improve decision making and awareness in badminton. However, these programs are extremely limited, and do not provide athletes with the necessary improvements needed to optimise their in-game performance. In developing and improving decision making, the ideal strategy would be to expose the athlete to all possible situations and scenarios that they may face. This allows them to retain certain responses in their subconsciousness; leading their bodies to instantaneously select the appropriate action to take in similar situations. This paper provides an overview of the electronic training program currently being developed to improve reaction time and awareness in badminton players. Particular emphasis is placed on a player’s ability to estimate and predict shuttle location. Using this program, we will be able to identify the player’s awareness and attempt to improve their in-game performance and decision making. These findings will not be limited to badminton, and applicability to other sports will be discussed.
Minh Huynh is studying a Masters in Statistics and Operations Research at RMIT.
Martin Shield - To check or not to check?
Consider an item which arrives at a check point, where it may be assessed against some benchmark before it can move on. We define an `inspection decision' to be the choice between inspecting the item and allowing it to pass without inspection. Inspection decisions arise in many contexts. Examples include quality control in manufacturing, checking bags as customers leave department stores, and customs or quarantine inspections. I'm hoping that this talk will be interactive. I'll start with a brief overview of traditional approaches to inspection decisions, then guide a discussion about these approaches and alternative ideas.
After completing Honours in Statistics at the University of Melbourne, Martin went to work as a statistician for ANZ. He has since returned to the University as a PhD candidate, working with Andrew Robinson, Owen Jones and Peter Hall on an applied statistics project.
You are invited to join the speakers and Central Council members at a nearby restaurant after the meeting.