中文简介
《澳大利亚与新西兰统计杂志》是由澳大利亚统计学会和新西兰统计学会联合主办的国际期刊。它的目的是报告在统计方面的重大和新颖的贡献，包括关于统计理论、方法论、应用和计算的文章。该杂志特别关注可以很容易地应用于现实问题的统计技术，以及重点放在澳大利亚的应用论文。在澳大利亚统计学会或新西兰统计协会的会议上，提交给该杂志的优秀文章可被选为讨论论文。杂志的主体分为三个部分。理论和方法科发表载有对统计学、计量经济学和概率论的理论和方法作出原创性贡献的论文，并寻找以实际问题为动机，并在这种情况下证明所提议的理论或方法的论文。人们对那些由真实数据驱动并以真实数据为例证的论文有着强烈的偏好。应用程序组发表论文，展示统计技术应用于科学、政府和工业界统计用户所面对的问题。一个特别的重点是将新发展的统计方法应用于实际数据，并示范如何在一个应用领域更好地利用现有的统计方法。它试图通过将统计方法置于背景中来帮助统计学教师。统计计算部分发表包含新算法、代码片段或软件描述(仅适用于开源软件)的论文，通过计算的应用来增强该领域。优先考虑具有公开可用代码和/或数据的论文，以及为解决实际问题而采用统计方法的论文。此外，适当的评论论文和文章的历史和一般兴趣将被考虑。该杂志还定期出版书评。
英文简介
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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