Australian Journal of Statistics Template
Write in a clean editor, then format for Australian 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 Journal of Statistics format
Australian Journal of Statistics is a peer-reviewed journal published by Wiley, covering Advanced Statistical Methods and Models, Statistical Methods and Inference, Statistical Methods and Bayesian Inference.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Australian Journal of Statistics 12 (3): 45–58.
Formats any DOI in Australian Journal of Statistics style. No sign-up. |
| Publishes research in | Advanced Statistical Methods and Models Statistical Methods and Inference Statistical Methods and Bayesian Inference Bayesian Methods and Mixture Models Statistical Distribution Estimation and Applications |
| ISSN | 0004-9581 |
| h-index | 50 |
| i10-index | 356 |
| Total citations | 12,627 |
| Top institutions publishing here | Australian National University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Australian Journal of Statistics per year
Citation impact of Australian Journal of Statistics by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Australian Journal of Statistics
Summary This paper discusses estimation associated with the long‐memory time series models proposed by Granger & Joyeux (1980) and Hosking (1981). We consider the maximum likelihood estimator and the least squares estimator. Certain regularity conditions introduced by several authors to develop the asymptotic theory of these estimators do not hold in this model. However we…
Summary. In this paper a formula is developed for estimating the sampling variance of a genetic correlation estimated from analyses of variance and covariance. The formula holds provided the heritability estimate of neither character is zero. However, the development assumes a constant number of offspring per sire, k , and the effect of varying values…
A non‐parametric estimator of a density at a particular quantile is based on sample quantiles. The optimal (to minimize M.S.E.) choice of these quantiles is considered and a method of removing the bias is suggested.