Canadian Journal Of Statistics-revue Canadienne De Statistique

杂志介绍

Canadian Journal Of Statistics-revue Canadienne De Statistique杂志介绍

《Canadian Journal Of Statistics-revue Canadienne De Statistique》是一本以Multi-Language为主的未开放获取国际优秀期刊，中文名称加拿大统计杂志，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0.8，最新CiteScore 指数为1.4。

本刊近期中国学者发表的论文主要有：

• Subgroup analysis for functional partial linear regression model

  Author: Ma, Haiqiang; Liu, Chao; Xu, Sheng; Yang, Jin

• Optimal subsampling for large-sample quantile regression with massive data

  Author: Shao, Li; Song, Shanshan; Zhou, Yong

• Missing data analysis with sufficient dimension reduction

  Author: ZHENG, Siming; WAN, Alan T. K.; ZHOU, Yong

• Distributed estimation with empirical likelihood

  Author: Liu, Qianqian; Li, Zhouping

英文介绍

Canadian Journal Of Statistics-revue Canadienne De Statistique杂志英文介绍

The Canadian Journal of Statistics is the official journal of the Statistical Society of Canada. It has a reputation internationally as an excellent journal. The editorial board is comprised of statistical scientists with applied, computational, methodological, theoretical and probabilistic interests. Their role is to ensure that the journal continues to provide an international forum for the discipline of Statistics.

The journal seeks papers making broad points of interest to many readers, whereas papers making important points of more specific interest are better placed in more specialized journals. The levels of innovation and impact are key in the evaluation of submitted manuscripts.