Metrika

杂志介绍

Metrika杂志介绍

《Metrika》是一本以English为主的未开放获取国际优秀期刊，中文名称公制，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0.9，最新CiteScore 指数为1.5。

本刊近期中国学者发表的论文主要有：

• Lasso regression in sparse linear model with phi-mixing errors

  Author: Peng, Ling; Zhu, Yan; Zhong, Wenxuan

• Empirical likelihood based tests for detecting the presence of significant predictors in marginal quantile regression

  Author: Tang, Songqiao; Wang, Huiyu; Yan, Guanao; Zhang, Lixin

• A-optimal designs for non-parametric symmetrical global sensitivity analysis

  Author: Chen, Xueping; Gai, Yujie; Wang, Xiaodi

• Communication-efficient sparse composite quantile regression for distributed data

  Author: Yang, Yaohong; Wang, Lei

英文介绍

Metrika杂志英文介绍

Metrika is an international journal for theoretical and applied statistics. Metrika publishes original research papers in the field of mathematical statistics and statistical methods. Great importance is attached to new developments in theoretical statistics, statistical modeling and to actual innovative applicability of the proposed statistical methods and results. Topics of interest include, without being limited to, multivariate analysis, high dimensional statistics and nonparametric statistics; categorical data analysis and latent variable models; reliability, lifetime data analysis and statistics in engineering sciences.