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 2021-08-01 to 2025-08-01.)
ArticleCitations
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Lower bounds of projection weighted symmetric discrepancy on uniform designs8
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Model averaged tail area confidence intervals in nested linear regression models8
Full Bayesian analysis of triple seasonal autoregressive models7
A seminal contribution of Ailsa Land and Alison Doig Harcourt to the field of mathematical programming5
Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts4
4
Simon Christopher Barry, 12 February 1965–16 July 20234
4
Robust PCA for high‐dimensional data based on characteristic transformation4
Properties of the affine‐invariant ensemble sampler's ‘stretch move’ in high dimensions4
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
Simultaneous clustering of individuals and covariates for high‐dimensional longitudinal data3
Measurement errors in semi‐parametric generalised regression models3
Asymptotics of M‐estimator in multivariate linear regression models for a class of random errors3
Embedding latent class regression and latent class distal outcome models into cluster‐weighted latent class analysis: a detailed simulation experiment3
A method to reduce the width of confidence intervals by using a normal scores transformation3
Issue Information3
Testing multiple dispersion effects from unreplicated order‐of‐addition experiments2
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Bayesian hierarchical mixture models for detecting non‐normal clusters applied to noisy genomic and environmental datasets2
Population Size Estimation Using Covariates Having Missing Values and Measurement Error: Estimating Ethnic Group Sizes in New Zealand2
A calibrated data‐driven approach for small area estimation using big data2
Duncan Standon Ironmonger AM FASSA, 12 October 1931–3 September 20242
Bayesian credible intervals for population attributable risk from case–control, cohort and cross‐sectional studies2
Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis2
High‐dimensional graphical inference via partially penalised regression2
Issue Information2
Short‐term forecasting with a computationally efficient nonparametric transfer function model2
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Application of nonparametric approach to extreme value inference in distribution estimation of sample maximum and its properties2
Experimental design in practice: The importance of blocking and treatment structures2
A new minification integer‐valued autoregressive process driven by explanatory variables2
1
Online semiparametric regression via sequential Monte Carlo1
Latent heterogeneity in COVID‐19 hospitalisations: a cluster‐weighted approach to analyse mortality1
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
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The role of pairwise matching in experimental design for an incidence outcome1
A class of kth‐order dependence‐driven random coefficient mixed thinning integer‐valued autoregressive process to analyse epileptic seizure data and COVID‐19 data1
Least‐squares estimators of the linear‐by‐linear association parameter from an ordinal log‐linear model1
Variable selection in heterogeneous panel data models with cross‐sectional dependence1
BNPdensity: Bayesian nonparametric mixture modelling in R1
ECM algorithm for estimating vector ARMA model with variance gamma distribution and possible unbounded density1
Issue Information1
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
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