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 2011
A Semiparametric Block Bootstrap for Clustered Data, Ray Chambers and Hukum Chandra
What Level of Statistical Model Should We Use in Small Domain Estimation?, Mohammad-Reza Namazi-Rad and David Steel
Detecting QTL for photoperiod sensitivity in a Brassica napus doubled haploid population using a linear mixed model with correlated marker effects, Alison Smith, Brian Cullis, and Matthew Nelson
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, C. 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
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, Sandy Burden, Yasmine Probst, David Steel, and Linda Tapsall
Asymptotics for general multivariate kernel density derivative estimators, Jose E. Chacon, Tarn Duong, and M. P. 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
Multinomial Probabilities for Orthophosphate Isotopomers, Robert Graham Clarke, Paul Milham, Andrew Thomas, and John Morrison
Further Simulation Results on Resampling Confidence Intervals for Empirical Variograms, Robert Graham Clark and S. Allingham
Combined analysis of 08/09 and 2010 experiments, Brian 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. P. 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. P. Wand, and S.S.J. Wang
Regression analysis for longitudinally linked data, Gunky Kim and Ray Chambers
Supplementary material for Estimating Copy Numbers for Shared Array CGH Data: the Linear-Median Method, Y. X. 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. P. Wand, J. T. Ormerod, S. A. Padoan, and R. Fruhwirth
Using Infer.NET for Statistical Analyses, S.S.J. Wang and M. P. Wand
Papers from 2009
Marginal longitudinal semiparametric regression via penalized splines, M. 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, H. Chandra, N. Salvati, and N. Tzavidis
On Bias-Robust Mean Squared Error Estimation for Pseudo-Linear Small Area Estimators, R. Chambers, H. Chandra, and N. Tzavidis
Inference Based on Estimating Equations and Probability-Linked Data, R. Chambers, J. Chipperfield, W. 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, H. 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
Small Area Estimation Using a Nonparametric Model Based Direct Estimator, N. Salvati, H. Chandra, M. Giovanna Ranalli, and R. Chambers
Small Area Estimation Via M-quantile Geographically Weighted Regression, N. Salvati, N. Tzavidis, M. Pratesi, and R. Chambers
Asymptotics and Optimal Bandwidth Selection for Highest Density Region Estimation, R. J. Samworth and M. P. Wand
Spatial small area estimation: Comparison of different approaches - Report, G. Sofronov
Robust Estimation of Small Area Means and Quantiles, N. Tzavidis, S. Marchetti, and R. Chambers
Papers from 2008
Seasonal Adjustment of Aggregated Series using Univariate and Multivariate Basic Structural Models, C. Birrell, D. G. Steel, and Y. X. Lin
Measurement Error in Auxiliary Information, R. Chambers
Improved Direct Estimators for Small Areas, R. Chambers and H. Chandra
Maximum Likelihood Logistic Regression With Auxiliary Information, R. Chambers and S. Wang
Estimation of small domain means for zero contaminated skewed data, H. Chandra and R. Chambers
Multipurpose Small Area Estimation, H. Chandra and R. Chambers
Small Area Estimation Under Transformation To Linearity, H. Chandra and R. Chambers
Design and Estimation for Split Questionnaire Surveys, J. O. Chipperfield and D. G. Steel
Sampling for Subpopulations in Two-Stage Surveys, Robert Graham Clark
Adaptive Calibration for Prediction of Finite Population Totals, Robert Graham Clark and R. L. Chambers
Design and Analysis of Clustered, Unmatched Resource Selection Studies, Robert Graham Clark and T. Strevens
Highest density difference region estimation with application to flow cytometric data, T. Duong, I. Koch, and M. P. Wand
Generalised linear mixed model analysis via sequential Monte Carlo sampling, Y. Fan, D. S. Leslie, and M. P. Wand
Parsimonious classification via generalised linear mixed models, G. Kauermann, J. T. Ormerod, and M. P. Wand
Semiparametric Regression During 2003–2007, D. Ruppert, M. P. Wand, and R. J. Carroll
Spatial M-quantile Models for Small Area Estimation, N. Salvati, M. Pratesi, N. Tzavidis, and R. Chambers
Robustness for general design mixed models using the t-distribution, J. Staudenmayer, E. E. Lake, and M. P. Wand
Design and Analysis of Repeated Surveys, D. Steel and C. McLaren
Optimal Estimation of Interviewer Effects for Binary Response Variables through Partial Interpenetration, N. von Sanden and David Steel
Semiparametric regression and graphical models, M. P. Wand
Papers from 1982
Interactive screen preparation for visible program execution, B G. Hill