雜志介紹

Australian & New Zealand Journal Of Statistics雜志介紹

《Australian & New Zealand Journal Of Statistics》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱澳大利亞和新西蘭統(tǒng)計雜志，本刊主要出版、報道數(shù)學-STATISTICS & PROBABILITY領域的研究動態(tài)以及在該領域取得的各方面的經(jīng)驗和科研成果，介紹該領域有關本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學術信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領域相關學科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為0.8，最新CiteScore 指數(shù)為1.7。

本刊近期中國學者發(fā)表的論文主要有：

• Efficient Inference for Longitudinal Data Varying

  Author: sc2010310134

• Statistical Analysis of Heat Waves in the State of Victoria in Australia

  Author: wongtst

英文介紹

Australian & New Zealand Journal Of Statistics雜志英文介紹

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.