AStA-Advances in Statistical Analysis

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官方网站：http://www.springer.com/statistics/journal/10182

投稿网址：https://www.editorialmanager.com/astb/default.aspx

PMC链接：http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1863-8171%5BISSN%5D

AStA -统计分析的进展，德国统计学会的期刊，每季出版一次，在统计方法、应用和评论文章方面有独到的贡献。AStA -统计分析的进展有三个指定部分:统计应用程序:统计应用程序部分为在广泛的应用领域创新地使用统计建模和分析技术提供了一个论坛。传统上，AStA把经济和社会科学作为自己的专业，但也强烈鼓励提交其他应用领域的论文，如技术、工程或生态学。统计方法:统计方法科出版关于统计理论和方法发展的原创文章。这些贡献应该提供新颖的材料。如果以统计或实际问题为出发点，则欢迎有关概率或形式方法的文章。统计评论:统计审查科欢迎各统计领域的审查文章，包括统计计算和软件。还注意审查目前和正在进行的研究领域的论文。这部分定期出版书评。提交原稿的作者应注明他们的作品拟用于哪个部分。AStA—统计分析的进展为当前和新兴领域的研究人员提供了一个论坛，以介绍、传播和促进统计方面的新思想，并促进研究领域的积极讨论。这还包括传统领域令人兴奋的新方法的发展。该杂志追求的是快速周转提交，这使得AStA吸引了作者的研究和新成果及时发表。

AStA - Advances in Statistical Analysis, a journal of the German Statistical Society, is published quarterly and presents original contributions on statistical methods and applications and review articles.AStA - Advances in Statistical Analysis has three designated sections:Statistical Applications:The Statistical Application section provides a forum for innovative use of statistical modeling and analysis techniques in a wide range of application areas. Traditionally, economic and social science are at home at AStA, but submissions with other fields of application such as technology, engineering or ecology are also strongly encouraged.Statistical Methodology:The Statistical Methodology section publishes original articles on statistical theory and methodological developments. The contributions should provide novel material. Articles on probability or formal methods are welcome if they take a statistical or practical problem as a starting point. Statistical Reviews:The Statistical Review section welcomes review articles in the various fields of statistics, including statistical computing and software, respectively. Attention is also given to review papers in areas of current and ongoing research. Regularly, book reviews are published in this section.Authors submitting a manuscript should indicate for which section their work is intended.AStA - Advances in Statistical Analysis offers researchers in current and emerging fields a forum to introduce, disseminate and promote new ideas in statistics and to stimulate the active discussion in the research field. This also includes exciting new methodological developments in traditional areas.The journal pursues a quick turn-around of submissions, which makes AStA attractive for authors to have their research and new results being published on time.