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 2022-05-01 to 2026-05-01.)
ArticleCitations
11
Model averaged tail area confidence intervals in nested linear regression models10
Seminal Ideas and Controversies in Statistics. By Roderick J. A.Little, Boca Raton, FL: CRC Press, 2025. 243 pp. AU 6
Lower bounds of projection weighted symmetric discrepancy on uniform designs5
Full Bayesian analysis of triple seasonal autoregressive models5
A seminal contribution of Ailsa Land and Alison Doig Harcourt to the field of mathematical programming4
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
4
Adjusted Maximum Likelihood Method Based on Shrinkage Factor Bias Reduction for Multivariate Fay–Herriot Model4
Generating Synthetic Data With Locally Estimated Distributions for Disclosure Control3
Robust PCA for high‐dimensional data based on characteristic transformation3
Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts3
Simon Christopher Barry, 12 February 1965–16 July 20233
3
High‐dimensional graphical inference via partially penalised regression2
A method to reduce the width of confidence intervals by using a normal scores transformation2
Measurement errors in semi‐parametric generalised regression models2
Optimal Estimation for a Class of High‐Dimensional Covariance Matrices2
Duncan Standon Ironmonger AM FASSA, 12 October 1931–3 September 20242
Teaching of Confidence Intervals in Context2
Asymptotics of M‐estimator in multivariate linear regression models for a class of random errors2
Simultaneous clustering of individuals and covariates for high‐dimensional longitudinal data2
Issue Information2
A calibrated data‐driven approach for small area estimation using big data2
Building a Theoretical Foundation for the Spline‐Mixed Model Connection2
Embedding latent class regression and latent class distal outcome models into cluster‐weighted latent class analysis: a detailed simulation experiment2
Population Size Estimation Using Covariates Having Missing Values and Measurement Error: Estimating Ethnic Group Sizes in New Zealand2
Issue Information2
Testing multiple dispersion effects from unreplicated order‐of‐addition experiments2
A Technology Pilot for Small Group Teaching of Statistics1
Least‐squares estimators of the linear‐by‐linear association parameter from an ordinal log‐linear model1
Issue Information1
Online semiparametric regression via sequential Monte Carlo1
Bayesian hierarchical mixture models for detecting non‐normal clusters applied to noisy genomic and environmental datasets1
A Personal History of the tidyverse1
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
Variable selection in heterogeneous panel data models with cross‐sectional dependence1
Editorial: 25 YeaRs (Special Issue)1
Exact samples sizes for clinical trials subject to size and power constraints1
A class of kth‐order dependence‐driven random coefficient mixed thinning integer‐valued autoregressive process to analyse epileptic seizure data and COVID‐19 data1
Model‐Free Local Partial Correlation1
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Issue Information1
Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis1
Latent heterogeneity in COVID‐19 hospitalisations: a cluster‐weighted approach to analyse mortality1
Distance Measures for Unweighted Undirected Networks: A Comparison Study1
Issue Information1
Examining the Interface Design of Tidyverse1
A nonparametric mixture approach to density and null proportion estimation in large‐scale multiple comparison problems1
Penalised, post‐pretest, and post‐shrinkage strategies in nonlinear growth models1
Issue Information1
Issue Information1
Short‐term forecasting with a computationally efficient nonparametric transfer function model1
A new minification integer‐valued autoregressive process driven by explanatory variables1
Issue Information1
Normalising Transformation of the Hill Estimator1
Forecasting the Age Structure of the Scientific Workforce in Australia1
Co‐Clustering Analysis of Multi‐Layer Directed Networks: A Spectral Approach1
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