Australian & New Zealand Journal of Statistics
© Australian Statistical Publishing Association
Edited By: James Curran, Michael Martin, Martin Hazelton, Chris Triggs, Petra Graham and Rolf Turner
Impact Factor: 0.431
ISI Journal Citation Reports © Ranking: 2015: 107/123 (Statistics & Probability)
Online ISSN: 1467-842X
Recently Published Articles
- A powerful and efficient algorithm for breaking the links between aliased effects in asymmetric designs
A. M. Elsawah
Version of Record online: 23 FEB 2017 | DOI: 10.1111/anzs.12181
This article investigates the construction and theoretical properties of combined designs with mixed two and three levels via mixture discrepancy.
- You have full text access to this OnlineOpen articleSome solutions to the multivariate Behrens–Fisher problem for dissimilarity-based analyses
Marti J. Anderson, Daniel C. I. Walsh, K. Robert Clarke, Ray N. Gorley and Edlin Guerra-Castro
Version of Record online: 13 FEB 2017 | DOI: 10.1111/anzs.12176
This article describes a new multivariate test for differences in centroids in the presence of heterogeneity of dispersions on the basis of a chosen dissimilarity measure.
- Optimal split-plot orthogonal arrays
Po Yang and Chang-Yun Lin
Version of Record online: 1 FEB 2017 | DOI: 10.1111/anzs.12178
This article provides a method for constructing split-plot designs with factors of three, more than three, or mixed levels and with qualitative and quantitative factors.
- The Australian Census Longitudinal Dataset: using record linkage to create a longitudinal sample from a series of cross-sections
James Chipperfield, James J. Brown and Nicole Watson
Version of Record online: 21 JAN 2017 | DOI: 10.1111/anzs.12177
The Australian Bureau of Statistics is creating a longitudinal data set by linking person records across its five-yearly Census of Population and Housing.
- Statistical models for DNA copy number variation detection using read-depth data from next generation sequencing experiments (pages 473–491)
Tieming Ji and Jie Chen
Version of Record online: 29 DEC 2016 | DOI: 10.1111/anzs.12175
This paper gives a timely survey of currently used statistical methods in searching for CNVs using NGS data and discusses challenges and future research directions.