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Australian & New Zealand Journal of Statistics
基本信息
期刊名称 Australian & New Zealand Journal of Statistics
AUST NZ J STAT
期刊ISSN 1369-1473
期刊官方网站 https://onlinelibrary.wiley.com/journal/1467842X
是否OA No
出版商 Wiley-Blackwell Publishing Ltd
出版周期 Quarterly
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始发年份 1998
年文章数 19
影响因子 0.8(2023)  scijournal影响因子  greensci影响因子
中科院SCI期刊分区
大类学科 小类学科 Top 综述
数学4区 STATISTICS & PROBABILITY 统计学与概率论4区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 1.7 0.344 0.904
Mathematics
Statistics and Probability
164/278 41%
Decision Sciences
Statistics, Probability and Uncertainty
100/168 40%
补充信息
自引率 11.80%
H-index 34
SCI收录状况 Science Citation Index Expanded
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网友分享审稿时间 数据统计中,敬请期待。
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PubMed Central (PMC) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1369-1473%5BISSN%5D
投稿指南
期刊投稿网址 https://mc.manuscriptcentral.com/anzjs
收稿范围
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.

In addition, suitable review papers and articles of historical and general interest will be considered. The journal also publishes book reviews on a regular basis.
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投稿指南 https://onlinelibrary.wiley.com/page/journal/1467842x/homepage/forauthors.html
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参考文献格式
编辑信息

Editor-in-Chief

Professor Martin Hazelton
University of Otago
New Zealand

Theory and Methods Editors

Professor Han Lin Shang 
Australian National University
Australia

Professor Samuel Müller
University of Sydney
Australia

Professor Michael Martin
Australian National University
Australia

Applications Editor

A/Prof Barbara Holland
University of Tasmania
Australia

Statistical Computing Editor

Dr Hien Nguyen
La Trobe University
Australia

Book Review Editor

Dr Petra Graham
Macquarie University
Australia

Technical Editor

Dr Hien Nguyen
La Trobe University
Australia

Sub-Technical Editors

Dr. Natalie Karavarsamis
La Trobe University 
Australia

Social Media Editor

Dr. Emi Tanaka
University of Sydney
Australia

Editorial Board Members

J. Arbel (INRIA, France)
R. Arnold (Victoria University of Wellington)
M. Bebbington (Massey University)
H. Bondell (University of Melbourne)
K. Borovkov (University of Melbourne)
Z. Botev (University of NSW)
C. Chen (Feng Chia University)
R. Clark (Australian National University)
P. Craig (Durham University)
J. Curran (University of Auckland)
T. Davies (University of Otago)
F. Forbes (INRIA, France)
T. Fung (Macquarie University)
R. Gerlach (University of Sydney)
C. D. Giurcaneanu (The University of Auckland)
B. Gogel (University of Adelaide)
G. Heller (Macquarie University)
F. Hui (Australian National University)
B. Jones (University of Auckland)
G. Jones (Massey University)
E. Juarez-Colunga (Colarado Univeristy of Denver)
F. Klebaner (Monash University)
I. Koch (University of Western Australia)
K. Le Cao (University of Melbourne)
S. Lee (University of Adelaide)
I. Liu (Victoria University of Wellington)
T. Lumley (University of Auckland)
R. McVinish (University of Queensland)
A. Miller (University of Auckland) 
K. Murray (University of Western Australia)
M. Parry (University of Otago)
M. Segal (University of California, San Francisco)
S. Sisson (University of New South Wales)
D. Street (University of Technology, Sydney)
G. Tarr (University of Sydney)
F. Vahid (Monash University)
M. Wand (University of Technology, Sydney)
T. Wang (University of Otago)
G. Willmot (University of Waterloo)


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