## Centre for Statistical & Survey Methodology Working Paper Series

The Centre for Statistical and Survey Methodology Working Papers Series aims to publish high quality original research, based on work in progress.

These papers are free for private and educational use; they may not be reporduced or amended. Please contact the Centre for permission to quote. The papers are copyrighted by the Authors.

#### Papers from 2013

Bootstrap p-values for cochran's Q, stuart and bowker tests, D Best and John Rayner

Local spatial-predictor selection, Jonathan Bradley, Noel Cressie, and Tao Shi

Comparing and selecting spatial predictors using local criteria, Jonathan R. Bradley, Noel Cressie, and Tao Shi

Characteristics of empirical zoning distributions for small area health data, Sandy Burden and David Steel

Constraint choice for spatial microsimulation, Sandy Burden and David Steel

Disease mapping via negative binomial M-quantile regression, Ray Chambers, Emanuela Dreassi, and Nicola Salvati

Incorporating household type in mixed logistic models for people in households, Robert Graham Clark

Correction factors for unbiased, efficient estimation and prediction of biomass from log-log allometric models, David Clifford, Noel Cressie, Jacqueline England, Stephen Roxburgh, and Keryn Paul

Environmental informatics: uncertainty quantification in the environmental sciences, Noel Cressie

A Bayesian multivariate analysis of children’s exposure to pesticides, Noel Cressie, M Morara, B Buxton, N McMillan, W Strauss, and N Wilson

A faster and computationally more efficient REML (PX)EM algorithm for linear mixed models, Simon Diffey, Alan Welsh, Alison Smith, and Brian R. Cullis

Bias reduction for correlated linkage error, Gunky Kim and Ray Chambers

Maximum likelihood logistic regression with auxiliary information for probabilistically linked data, Gunky Kim and Ray Chambers

Model-assisted optimal allocation for planned domains using composite estimation, Wilford Molefe and Robert Graham Clark

What Level of Statistical Model Should We Use in Small Domain Estimation?, Mohammad-Reza Namazi-Rad and David Steel

Spatial fay-herriot models for small area estimation with functional covariates, Aaron Porter, Scott Holan, Chistopher Wikle, and Noel Cressie

Hierarchical statistical modeling of big spatial datasets using the exponential family of distributions, Aritra Sengupta and Noel Cressie

Statistical modeling of MODIS cloud data using the spatial random effects model, Aritra Sengupta, Noel Cressie, Richard Frey, and Brian Kahn

Potential gains from using unit level cost information in a model-assisted framework, David Steel and Robert Graham Clark

Poisson M-quantile regression for small area estimation, Nikos Tzavidis, Maria Giovanna Rannalli, Nicola Salvati, Emanuela Dreassi, and Ray Chambers

Multi-species SIR models from a dynamical bayesian perspective, Lili Zhuang, Noel Cressie, Laura Pomeroy, and Daniel Janies

#### Papers from 2012

Testing equality of variances for multiple univariate normal populations, David Allingham and J C. Rayner

Can telephone surveys for the whole population provide reliable information on the health of Aboriginal and Torres Strait Islander Australians?, Margo Barr, Anthony Dillon, Mazen Kassis, and David G. Steel

Inclusion of mobile phone numbers into an ongoing population health survey in Australia using an overlapping dual frame: description of methods, call outcomes and acceptance by staff and respondents, Margo Barr, Jason J. van Ritten, David Steel, and Sarah V. Thackway

Assessing barotrauma among angled snapper (Pagrus auratus) and the utility of release methods, Paul A. Butcher, Matt K. Broadhurst, Karina C. Hall, Brian R. Cullis, and Shane R. Raidal

M-Quantile Regression for Binary Data with Application to Small Area Estimation, Ray Chambers, Nicola Salvati, and Nikos Tzavidis

Statistical learning in sample design, Robert Graham Clark

Sampling the Maori Population using Proxy Screening, the Electoral Roll and Disproportionate Sampling in the New Zealand Health Survey, Robert Graham Clark and Robert Templeton

Addressing the Needs of a Developing Nation: Electronic Maps of Mathematical Learning Resources Accessible Via the Internet, Maman Fathurrohman and Anne Porter

Learning Design Map (LDMap) for Mathematics Teachers in Developing Countries and the Benefit of Its Use for Curriculum Review, Maman Fathurrohman, Anne Porter, and Annette. L. Worthy

Unbiased regression estimation for multi-linked data in the presence of correlated linkage error, G. Kim and Ray Chambers

Imputation of household survey data using linear mixed models, Luise P. Lago and Robert Graham Clark

Continuous analogues of Cochran-Mantel-Haenszel statistics, J C. Rayner and D Best

Multi-phase variety trials using both composite and individual replicate samples: A model-based design approach, Alison B. Smith, David G. Butler, Colin R. Cavanagh, and Brian R. Cullis

Potential gains from sample design using unit level cost information, David Steel

Using Social Network Information for Survey Estimation, Thomas Suesse and Ray Chambers

Multiple membership models for social network and group dependencies, Mark Tranmer, David Steel, and William J. Browne

#### Papers from 2011

A nonparametric two-sample wald test of equality of variances, David Allingham and John Rayner

Nonparametric tests for latin squares, John Best and John Rayner

Resilience of inshore, juvenile snapper Pagrus auratus to angling and release, M K. Broadhurst, P A. Butcher, K C. Hall, Brian R. Cullis, and S P. McGrath

Exploring learning design in tertiary mathematics, Bothaina Bukhatowa and Anne Porter

Experience with Change Evaluations suggests the need for better learning designs: one possibility for mathematics, Bothaina Bukhatowa, Anne Porter, and Mark Nelson

Which sample survey strategy? a review of three different approaches, Ray Chambers

A Semiparametric Block Bootstrap for Clustered Data, Ray Chambers and Hukum Chandra

Modifiable and Sharable Electronic Maps of Mathematical Learning Resources for Use in Developing Countries: A Case Study of Bojonegara Sub District, Indonesia, Maman Fathurrohman and Anne Porter

Regression Analysis under Probabilistic Multi-Linkage, G. Kim and Ray Chambers

The Analysis of Pattern Change in Intron Sequences, Jinda Kongcharoen, Yan-Xia Lin, Rachel Caldwell, and Yiren Yang

Evaluating the volatility forecasting performance of best fitting GARCH models in emerging asian stock markets, Chaiwat Kosapattarapim, Yan-Xia Lin, and Michael McCrae

What Level of Statistical Model Should We Use in Small Domain Estimation?, Mohammad-Reza Namazi-Rad and David G. Steel

Unit root tests for ESTAR models, Heni Puspaningrum, Yan-Xia Lin, and Chandra Gulati

Detecting QTL for photoperiod sensitivity in a Brassica napus doubled haploid population using a linear mixed model with correlated marker effects, Alison Smith, Brian R. Cullis, and Matthew Nelson

Modelling Strategies for Repeated Multiple Response Data, Thomas F. Suesse and Ivy Liu

#### Papers from 2010

Accounting for Spatiotemporal Variation of Rainfall Measurements when Evaluating Ground-Based Methods of Weather Modification, Stephen Beare, Ray Chambers, and Scott Peake

Parameter estimation and naïve bias for a seasonally adjusted aggregate series of different lengths using univariate and multivariate approaches, Carole Birrell, Yan-Xia Lin, and David G. Steel

Seasonal Adjustment of an Aggregate Series using Univariate and Multivariate Basic Structural Models, Carole Birrell, D. G. Steel, and Y. X. Lin

Wilson confidence intervals for the two-sample log-odds-ratio in stratified 2 x 2 contingency tables, B. M. Brown, Thomas Suesse, and Von Bing Yap

Emulating the Best Technology in Teaching and Learning Mathematics: Challenges Facing Libyan Higher Education, Bothaina Bukhatowa, Anne Porter, and Mark I. Nelson

The impact of complex survey design on prevalence estimates of intakes of food groups in the Australian National Children’s Nutrition and Physical Activity Survey, Alexandra Burden, Yasmine Probst, David G. Steel, and L. C. Tapsell

Asymptotics for general multivariate kernel density derivative estimators, Jose E. Chacon, Tarn Duong, and M. Wand

Small Area Estimation under Spatial Nonstationarity, Hukum Chandra, Nicola Salvati, Ray Chambers, and Nikod Tzavidis

Disaggregate-level estimates of indebtedness in the state of Uttar Pradesh in India-an application of small area estimation technique, Hukum Chandra, Nicola Salvati, and U. C. Sud

Multivariate Random Effect Models with complete and incomplete data, James O. Chipperfield and David G. Steel

Further Simulation Results on Resampling Confidence Intervals for Empirical Variograms, Robert Graham Clark and S. Allingham

Multinomial Probabilities for Orthophosphate Isotopomers, Robert Graham Clark, Paul Milham, Andrew Thomas, and John Morrison

Combined analysis of 08/09 and 2010 experiments, Brian R. Cullis, David Butler, Daryl Mares, Kolumbia Mrva, and Hai Yunn Law

Variational Bayesian Inference for Parametric and Nonparametric Regression with Missing Data, C. Faes, J. T. Ormerod, and M. Wand

The Probability of an Out of Control Signal from Nelson’s Supplementary Zig-Zag Test, David Griffiths, Martin Bunder, Chandra Gulati, and Takeo Onzawa

Asymptotic normality and valid inference for Gaussian variational approximation, P. Hall, T. Pham, M. Wand, and S.S.J. Wang

Regression analysis for longitudinally linked data, Gunky Kim and Ray Chambers

Estimating Shared Copy Number Aberrations for Array CGH Data: the Linear-Median Method, Yan-Xia Lin, V. Baladandayuthapani, V Bonato, and K A. Do

Supplementary material for Estimating Copy Numbers for Shared Array CGH Data: the Linear-Median Method, Yan-Xia Lin, V. Baladandayuthapani, V. Bonato, and K. A. Do

Model Based Direct Estimation of Small Area Distributions, Nicola Salvati, Hukum Chandra, and Ray Chambers

Fitting Linear Mixed Models Using Linked Data, Klairung Samart and Ray Chambers

Marginalized Curved Exponential Random Graph Models, Thomas Suesse

Mantel-Haenszel Estimators of Odds Ratios for Stratified Dependent Binomial Data, Thomas Suesse and Ivy Liu

Variational Bayes for Elaborate Distributions, M. Wand, J. T. Ormerod, S. A. Padoan, and R. Fruhwirth

Using Infer.NET for Statistical Analyses, S.S.J. Wang and M. Wand

#### Papers from 2009

Marginal longitudinal semiparametric regression via penalized splines, Mohammad Alkadiri, R. J. Carroll, and M. P. Wand

Asymptotic Quasi-likelihood Based on Kernel Smoothing for Multivariate Heteroskedastic Models with Correlation, R. Alzghool, Y. X. Lin, and S. X. Chen

Adaptive Inference for Multi-Stage Survey Data, L. M. Al-Zou'bi, Robert Graham Clark, and D. G. Steel

Learning designs to engage and support workers, N. Baharun and A. Porter

Removing the angst from statistics, N. Baharun and A. Porter

Teaching statistics using a blended approach: Integrating technology-based resources, N. Baharun and A. Porter

The use of technology to support student learning, N. Baharun and A. Porter

Statistical modelling of rainfall enhancement, S. Beare, R. Chambers, and S. Peak

Asymptotics for General Multivariate Kernel Density Derivative Estimators, J. E. Chacon, T. Duon, and M. P. Wand

Outlier Robust Small Area Estimation, R. Chambers, Hukum Chandra, N. Salvati, and N. Tzavidis

On Bias-Robust Mean Squared Error Estimation for Pseudo-Linear Small Area Estimators, R. Chambers, Hukum Chandra, and N. Tzavidis

Inference Based on Estimating Equations and Probability-Linked Data, R. Chambers, J. Chipperfield, Walter Davis, and M. Kovacevic

Borrowing strength over space in small area estimation: Comparing parametric, semi-parametric and non-parametric random effects and M-quantile small area models, R. Chambers, N. Tzavidis, and N. Salvati

Small Area Estimation of Proportions in Business Surveys, Hukum Chandra, R. Chambers, and N. Salvati

Theory of Gaussian Variational Approximation for a Poisson Mixed Model, P. Hall, J. T. Ormerod, and M. P. Wand

Regression analysis under incomplete linkage, G. Kim and R. Chambers

The curvHDR Method for Gating Flow Cytometry Samples, U. Naumann, G. Luta, and M. P. Wand

Explaining Variational Approximations, J. T. Ormerod and M. P. Wand

Gaussian Variational Approximate Inference for Generalized Linear Mixed Models, J. T. Ormerod and M. P. Wand

Exploring the MAUP from a spatial perspective, G. Pawitan and D. G. Steel

Finding the Optimal Pre-set Boundaries for Pairs Trading Strategy Based on Cointegration Technique, H. Puspaningrum, Y. X. Lin, and C. Gulati