Journal Of Applied Statistics

杂志介绍

Journal Of Applied Statistics杂志介绍

《Journal Of Applied Statistics》是一本以English为主的未开放获取国际优秀期刊，中文名称应用统计杂志，本刊主要出版、报道数学-STATISTICS & PROBABILITY领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为1.2，最新CiteScore 指数为3.4。

本刊近期中国学者发表的论文主要有：

• Model estimation and selection for partial linear varying coefficient EV models with longitudinal data

  Author: Zhao, Mingtao; Xu, Xiaoli; Zhu, Yanling; Zhang, Kongsheng; Zhou, Yan

• A distributed multiple sample testing for massive data

  Author: Xie Xiaoyue; Shi Jian; Song Kai

• An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks

  Author: Fan, Fang; Chu, Shu-Chuan; Pan, Jeng-Shyang; Lin, Chuang; Zhao, Huiqi

• Modeling multivariate cyber risks: deep learning dating extreme value theory

  Author: Zhang Wu, Mingyue; Luo, Jinzhu; Fang, Xing; Xu, Maochao; Zhao, Peng

英文介绍

Journal Of Applied Statistics杂志英文介绍

Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.