Fellows Research Meeting
The CCSM Fellows Meetings aim to provide an ongoing opportunity for researchers actively working in areas of interest to the Centre to present both work in progress and recent research results to an audience of fellow researchers and senior professionals who are also working in these areas. In particular, these meetings provide a high level forum for the dissemination of this research as well as the opportunity for stimulating and constructive discussion and debate on issues that are raised as a consequence. Ideally, participation in the Fellows Meetings should lead to the generation of useful inputs for further research. In this spirit, presentations at the meetings can therefore be relatively 'technical'
Participation in the Fellows Meetings is by invitation, with a planned maximum of 25 participants at any one time. There are four presentations at each Meeting, with three Meetings held a year. All participants are encouraged to make a presentation at a Meeting. The choice of topic is entirely up to the individual concerned, but ideally should be in an area of interest to the Centre, i.e. related to any combination of applied statistical inference, statistical methodology, survey and census methodology and the methodology of official statistics.
Meetings are presently held from 10:00 am (coffee at 9:30) to 4:30 pm in the Conference Centre of Trapper’s Motel, 2 Lockyer Street, Goulburn. Lunch and morning and afternoon tea are provided. Goulburn has been chosen as the venue because it represents a location that is (very roughly) approximately equidistant in terms of real travel time from Canberra, Wollongong and Sydney.
Topics
Goulburn 7 (July 30, 2008)
Goulburn 6 (March 19, 2008)
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John Rayner (University of Newcastle)
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**my brother* is an hairy man, but I am a smooth man.*
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Milorad Kovacevic (Statistics Canada)
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Regression analysis of linked survey files
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Pramod Adhikari (Australian Bureau of Statistics)
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Experimental estimates of adult literacy for Local Government areas
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Ray Chambers (University of Wollongong)
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Measurement error in auxiliary information
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Goulburn 5 (November 14, 2007)
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Elvezio Ronchetti (University of Geneva)
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Modelling Interest Rates
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Nicole Watson (University of Melbourne)
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Evaluation of Alternative Longitudinal Income Imputation Methods: The HILDA Experience
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Eric Beh (University of Western Sydney)
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Some Issues Concerning Categorical Data Analysis
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David Griffiths (University of Wollongong)
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The Thrown Coin: Who Gives a Toss? Binary Regression Design: Some Unresolved Issues
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Goulburn 4 (July 11, 2007)
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Janice Wooton (ABS)
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Parameter Estimation Using Confidentialised Census Count Data: Measuring the Information Loss
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Janice Wooton (ABS)
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Small Area Estimation: Issues Facing a National Statistical Office
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Hooshang Talebi (University of Isfahan)
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Optimal Bayesian Design for Small Experiments Applied to Simple Logistic Regression Models
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Matt Wand (University of Wollongong)
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Highest Density Difference Region Estimation with Application to Flow Cytometric Data
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Robert Clark (University of Wollongong)
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Adaptive Calibration for Prediction of Finite Population Totals
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Goulburn 3 (March 21, 2007)
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Daniel Elazar (ABS)
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Summarising the Quality of Small Area Estimates:
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An ABS perspective
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Stephen Horn (FaCSIA)
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Longitudinal Estimation
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James Chipperfield (ABS)
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Designing the Missing Data Mechanism for Split Questionnaire Surveys
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Alan Welsh (Australian National University)
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Random Effect and Transformation Models for Clustered Data
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Goulburn 2 (November 29, 2006)
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Bill Gross (ABS)
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Replication Variance Estimation
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Ken Brewer (Australian National University)
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Signal Extraction using ARIMA Models
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Simon Barry, Emma Lawrence and Emma Knight (BRS)
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Statistical Applications to Fisheries Data
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Phil Kokic (ABARE)
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Rural Vulnerability Indexes
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Goulburn 1 (September 27, 2006)
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Suojin Wang (Texas A&M University)
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Maximum Likelihood With Auxiliary Information
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Taprabatha Maiti (Iowa State University)
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Using Neural Net Imputation in the National Resources Inventory Surveys
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Hukum Chandra (University of Southampton)
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Small Area Estimation for Business Surveys
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Ross Sparks (CSIRO)
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Surveillance Using Survey Data
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