Australian and New Zealand Journal of Statistics

Aims & Scope

The Australian & New Zealand Journal of Statistics is an international journal managed jointly by the Statistical Society of Australia and the New Zealand Statistical Association.

Its purpose is to report significant and novel contributions in statistics, ranging across articles on statistical theory, methodology, applications and computing.

The journal has a particular focus on statistical techniques that can be readily applied to real-world problems, and on application papers with an Australasian emphasis.

Outstanding articles submitted to the journal may be selected as Discussion Papers, to be read at a meeting of either the Statistical Society of Australia or the New Zealand Statistical Association.

The main body of the journal is divided into three sections.

The Theory and Methods Section publishes papers containing original contributions to the theory and methodology of statistics, econometrics and probability, and seeks papers motivated by a real problem and which demonstrate the proposed theory or methodology in that situation.

There is a strong preference for papers motivated by, and illustrated with, real data.

The Applications Section publishes papers demonstrating applications of statistical techniques to problems faced by users of statistics in the sciences, government and industry.

A particular focus is the application of newly developed statistical methodology to real data and the demonstration of better use of established statistical methodology in an area of application.

It seeks to aid teachers of statistics by placing statistical methods in context.

The Statistical Computing Section publishes papers containing new algorithms, code snippets, or software descriptions (for open source software only) which enhance the field through the application of computing.

Preference is given to papers featuring publically available code and/or data, and to those motivated by statistical methods for practical problems.

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	15587

Journal Citation Indicator

Year	Value
2024	74

SJR (SCImago Journal Rank)

Year	Value
2024	0.334

Quartile

Year	Value
2024	Q3

Impact Factor

Year	Value
2024	0.80

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Theory & Methods: Generalized exponential distributions

  Citation: 764

  Authors: Rameshwar D., Debasis

• Generalized discriminant analysis based on distances

  Citation: 605

  Authors: Marti J., John

• PARTIAL CORRELATION AND CONDITIONAL CORRELATION AS MEASURES OF CONDITIONAL INDEPENDENCE

  Citation: 367

  Authors: Kunihiro, Ritei, Masaaki

• Permutation Tests for Linear Models

  Citation: 339

  Authors: Marti J., John

• Interval estimation for the breakpoint in segmented regression: a smoothed score‐based approach

  Citation: 272

  Authors: Vito M.R.

• Practical Maximum Pseudolikelihood for Spatial Point Patterns

  Citation: 270

  Authors: Adrian, Rolf

• NONPARAMETRIC REGRESSION ON FUNCTIONAL DATA: INFERENCE AND PRACTICAL ASPECTS

  Citation: 179

  Authors: Frédéric, André, Philippe

• Applications: The Analysis of Crop Variety Evaluation Data in Australia

  Citation: 164

  Authors: Alison, Brian, Arthur

• Theory & Methods: Spatially‐adaptive Penalties for Spline Fitting

  Citation: 157

  Authors: David, Raymond J.

• ON SEMIPARAMETRIC REGRESSION WITH O'SULLIVAN PENALIZED SPLINES

  Citation: 153

  Authors: M. P., J. T.

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