友情提示:以下期刊信息可能会有更新,仅供参考,请在投稿前自行登录期刊官网仔细核实。
期刊名
AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS
AUST NZ J STAT
ISSN / eISSN
1369-1473 / 1467-842X
目标和范围
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.
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.
研究方向
统计学与概率论
CiteScore
1.70
查看趋势图
CiteScore 学科排名
类别 | 分区 | 排名 |
---|---|---|
Mathematics - Statistics and Probability | Q3 | #164/278 |
Mathematics - Statistics, Probability and Uncertainty | Q3 | #100/168 |
Web of Science 核心收藏夹
Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
---|---|
Indexed | - |
类别 (Journal Citation Reports 2024) | 分区 |
---|---|
STATISTICS & PROBABILITY | Q3 |
H-index
34
出版国家或地区
ENGLAND
出版商
Wiley-Blackwell Publishing Ltd
出版周期
Quarterly
出版年份
1998
年文章数
19
Open Access
NO
通讯方式
WILEY-BLACKWELL PUBLISHING, INC, COMMERCE PLACE, 350 MAIN ST, MALDEN, USA, MA, 02148
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now