Australian & New Zealand Journal of Statistics

Papers
(The TQCC of Australian & New Zealand Journal of Statistics is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
10
Model averaged tail area confidence intervals in nested linear regression models9
9
Full Bayesian analysis of triple seasonal autoregressive models8
4
Lower bounds of projection weighted symmetric discrepancy on uniform designs4
A seminal contribution of Ailsa Land and Alison Doig Harcourt to the field of mathematical programming4
Adjusted Maximum Likelihood Method Based on Shrinkage Factor Bias Reduction for Multivariate Fay–Herriot Model4
4
Functional Data Analysis with R. By C. M.Crainiceanu, J.Goldsmith, A.Leroux, and E.Cui, Boca Raton, FL: Chapman and Hall/CRC. 2024. 338 pages. AU$ 138.40 (hardback). ISBN: 978‐1‐032‐24471‐6.4
Teaching of Confidence Intervals in Context3
A method to reduce the width of confidence intervals by using a normal scores transformation3
Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts3
Robust PCA for high‐dimensional data based on characteristic transformation3
Properties of the affine‐invariant ensemble sampler's ‘stretch move’ in high dimensions3
Simon Christopher Barry, 12 February 1965–16 July 20233
Issue Information3
A new minification integer‐valued autoregressive process driven by explanatory variables2
Duncan Standon Ironmonger AM FASSA, 12 October 1931–3 September 20242
Testing multiple dispersion effects from unreplicated order‐of‐addition experiments2
Asymptotics of M‐estimator in multivariate linear regression models for a class of random errors2
Issue Information2
Short‐term forecasting with a computationally efficient nonparametric transfer function model2
Issue Information2
Measurement errors in semi‐parametric generalised regression models2
Issue Information2
Simultaneous clustering of individuals and covariates for high‐dimensional longitudinal data2
Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis2
Bayesian credible intervals for population attributable risk from case–control, cohort and cross‐sectional studies2
Population Size Estimation Using Covariates Having Missing Values and Measurement Error: Estimating Ethnic Group Sizes in New Zealand2
High‐dimensional graphical inference via partially penalised regression2
Embedding latent class regression and latent class distal outcome models into cluster‐weighted latent class analysis: a detailed simulation experiment2
A calibrated data‐driven approach for small area estimation using big data2
Online semiparametric regression via sequential Monte Carlo1
Issue Information1
Bayesian hierarchical mixture models for detecting non‐normal clusters applied to noisy genomic and environmental datasets1
Latent heterogeneity in COVID‐19 hospitalisations: a cluster‐weighted approach to analyse mortality1
A nonparametric mixture approach to density and null proportion estimation in large‐scale multiple comparison problems1
Normalising Transformation of the Hill Estimator1
Efficient estimation of partially linear tail index models using B‐splines1
Issue Information1
Application of nonparametric approach to extreme value inference in distribution estimation of sample maximum and its properties1
The role of pairwise matching in experimental design for an incidence outcome1
A Technology Pilot for Small Group Teaching of Statistics1
Exact samples sizes for clinical trials subject to size and power constraints1
Issue Information1
Penalised, post‐pretest, and post‐shrinkage strategies in nonlinear growth models1
Issue Information1
1
Model‐Free Local Partial Correlation1
Least‐squares estimators of the linear‐by‐linear association parameter from an ordinal log‐linear model1
A class of kth‐order dependence‐driven random coefficient mixed thinning integer‐valued autoregressive process to analyse epileptic seizure data and COVID‐19 data1
Variable selection in heterogeneous panel data models with cross‐sectional dependence1
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