Professor Chambers completed his undergraduate degree in mathematical statistics at
the University of Western Australia in 1972 and his MSc in Statistics at the Australian
National University in 1975. He received his PhD in Biostatistics from the Johns Hopkins
University, Baltimore in 1982 while on study leave from the Australian Bureau of
Statistics. • Professor Chambers returned to the ABS in 1982, and a year later moved to
the Bureau of Agricultural Economics (now the Australian Bureau of Agricultural and
Resource Economics) as Senior Statistician. • Professor Chambers’ academic career began
in 1991 when he transferred to a Senior Lecturer position at the Australian National
University. He took up an appointment as Professor of Social Statistics at the University
of Southampton, UK in 1995, where he stayed till 2006. At Southampton, his roles included
Head of the Department of Social Statistics, Leverhulme Professor of Social Statistics
and founding Director of the Southampton Statistical Sciences Research Institute. • The
University of Wollongong welcomed Professor Chambers in 2006 

Fields of Study: Sample survey design and analysis, robust statistical methods, graphical
methods in statistics, computer intensive statistical methods, statistical modelling and
inference, longitudinal data analysis, analysis of computer-linked and multiply-sourced
data 

Professional Activities and Affiliations: • Co-chair, First Asian International
Statistical Institute Satellite Meeting on Small Area Estimation, Bangkok, Thailand Sept,
2013 • President, 2011-2013, International Association of Survey Statisticians •
International Representative, 2010-2013, Board of the American Statistical Association •
Associate Editor: • Journal of Official Statistics • Survey Methodology • Journal of
Survey Statistics and Methodology • Elected Member, The International Statistical
Institute • Elected Fellow, The American Statistical Association • Member of the Royal
Statistical Society • Member of the Statistical Society of Australia and New Zealand 

Current Research Students: • Preeya Riyapan : Goodness of Fit Tests with Complex Survey
Data • Anang Kurnia : Robust Small Area Estimation • Payam Mokhtarian Dehkordi : Robust
MSE Estimators for Small Area Estimators • Diane Hindmarsh : Small Area Estimation for
Health Surveys • Sumonkanti Das : Multilevel Modeling for Identifying Determinants of
Child Malnutrition in Bangladesh • Luise Lago : Handling Missing Data in Complex
Household Surveys • Sarah Neville : Variational Approximations for Nonstandard
Semiparametric Regression 

No subject area

Model-based direct estimation of small-area distributions (with Nicola Salvati and Hukum Chandra), Faculty of Informatics - Papers (2012)

"Much of the small-area estimation literature focuses on population totals and means. However, users of...

 
Regression analysis under incomplete linkage (with Gunky Kim), Faculty of Informatics - Papers (2012)

Most probability-based methods used to link records from two distinct data sets corresponding to the...

 
Regression analysis under probabilistic multi-linkage (with Gunky Kim), Faculty of Informatics - Papers (2012)

"Linkage errors can occur when probability-based methods are used to link records from two distinct...

 
Small area estimation of proportions in business surveys (with Hukum Chandra and Nicola Salvati), Faculty of Informatics - Papers (2012)

Binary data are often of interest in business surveys, particularly when the aim is to...

 
Small area estimation under spatial nonstationarity (with Hukum Chandra, Nicola Salvati, and Nikos Tzavidis), Faculty of Informatics - Papers (2012)

"A geographical weighted empirical best linear unbiased predictor (GWEBLUP) for a small area average is...