Wiley

Australian & New Zealand Journal of Statistics Template

Write in a clean editor, then format for Australian & New Zealand Journal of Statistics in one click — DocuGuru applies the official Wiley template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Australian & New Zealand Journal of Statistics format

Australian & New Zealand Journal of Statistics is a peer-reviewed journal published by Wiley, covering Statistical Methods and Inference, Statistical Methods and Bayesian Inference, Advanced Statistical Methods and Models.

PublisherWiley
Reference styleAuthor–year (Chicago)
Author–year — (Smith, 2023) in the text
Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Australian & New Zealand Journal of Statistics 12 (3): 45–58.

Formats any DOI in Australian & New Zealand Journal of Statistics style. No sign-up.

Publishes research inStatistical Methods and Inference Statistical Methods and Bayesian Inference Advanced Statistical Methods and Models Bayesian Methods and Mixture Models Statistical Distribution Estimation and Applications
ISSN1369-1473
Citation impact (2-yr)0.61
h-index55
i10-index311
Total citations16,072
Article processing charge$2,830
Top institutions publishing hereAustralian National University
Journal websiteonlinelibrary.wiley.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Australian & New Zealand Journal of Statistics per year

44
2014
44
2015
40
2016
39
2017
39
2018
35
2019
35
2020
43
2021
33
2022
28
2023
29
2024
55
2025

Citation impact of Australian & New Zealand Journal of Statistics by publication year

468
2014
281
2015
195
2016
602
2017
156
2018
188
2019
143
2020
165
2021
105
2022
23
2023
30
2024
27
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Australian & New Zealand Journal of Statistics

Theory & Methods: Generalized exponential distributions

Rameshwar D. Gupta, Debasis Kundu · 1 Jun 1999

The three‐parameter gamma and three‐parameter Weibull distributions are commonly used for analysing any lifetime data or skewed data. Both distributions have several desirable properties, and nice physical interpretations. Because of the scale and shape parameters, both have quite a bit of flexibility for analysing different types of lifetime data. They have increasing as well as…

1,095 citations Cite SaveGo to paper →
Generalized discriminant analysis based on distances

Marti J. Anderson, John Robinson · 23 Jul 2003

Summary This paper describes a method of generalized discriminant analysis based on a dissimilarity matrix to test for differences in a priori groups of multivariate observations. Use of classical multidimensional scaling produces a low‐dimensional representation of the data for which Euclidean distances approximate the original dissimilarities. The resulting scores are then analysed using discriminant analysis,…

Permutation Tests for Linear Models

Marti J. Anderson, John Robinson · 1 Mar 2001

Several approximate permutation tests have been proposed for tests of partial regression coefficients in a linear model based on sample partial correlations. This paper begins with an explanation and notation for an exact test. It then compares the distributions of the test statistics under the various permutation methods proposed, and shows that the partial correlations…

PARTIAL CORRELATION AND CONDITIONAL CORRELATION AS MEASURES OF CONDITIONAL INDEPENDENCE

Kunihiro Baba, Ritei Shibata, Masaaki Sibuya · 1 Dec 2004

Summary This paper investigates the roles of partial correlation and conditional correlation as measures of the conditional independence of two random variables. It first establishes a sufficient condition for the coincidence of the partial correlation with the conditional correlation. The condition is satisfied not only for multivariate normal but also for elliptical, multivariate hypergeometric, multivariate…

Practical Maximum Pseudolikelihood for Spatial Point Patterns

Adrian Baddeley, Rolf Turner · 1 Sep 2000

This paper describes a technique for computing approximate maximum pseudolikelihood estimates of the parameters of a spatial point process. The method is an extension of Berman & Turner's (1992) device for maximizing the likelihoods of inhomogeneous spatial Poisson processes. For a very wide class of spatial point process models the likelihood is intractable, while the…

Australian & New Zealand Journal of Statistics template — frequently asked questions

How do I write a paper in the Australian & New Zealand Journal of Statistics format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Australian & New Zealand Journal of Statistics template. When you export, DocuGuru compiles the paper into the official Wiley format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Australian & New Zealand Journal of Statistics use?
Australian & New Zealand Journal of Statistics uses Author–year (Chicago) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Australian & New Zealand Journal of Statistics 12 (3): 45–58.
Do I need to know LaTeX to submit to Australian & New Zealand Journal of Statistics?
No. DocuGuru generates the USG LaTeX class and compiles the PDF for you in the background, so you get a Wiley-ready Australian & New Zealand Journal of Statistics document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Australian & New Zealand Journal of Statistics template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Australian & New Zealand Journal of Statistics format with correct headings, figures, tables, and author–year citations.
Who publishes Australian & New Zealand Journal of Statistics?
Australian & New Zealand Journal of Statistics is a multidisciplinary journal published by Wiley. DocuGuru's Australian & New Zealand Journal of Statistics template matches Wiley's official submission format.
Can I export a submission-ready Australian & New Zealand Journal of Statistics PDF?
Yes — DocuGuru produces a PDF built with the official Australian & New Zealand Journal of Statistics template (the USG class) that is ready to submit to Wiley, together with the matching LaTeX source files.
How much does the Australian & New Zealand Journal of Statistics template cost?
You can start writing in the Australian & New Zealand Journal of Statistics template for free. Exporting the final submission-ready Australian & New Zealand Journal of Statistics PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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