Statistical Methods And Applications

雜志介紹

Statistical Methods And Applications雜志介紹

《Statistical Methods And Applications》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱統(tǒng)計方法與應(yīng)用，本刊主要出版、報道數(shù)學(xué)-STATISTICS & PROBABILITY領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為1.1，最新CiteScore 指數(shù)為1.7。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• Clustering of financial instruments using jump tail dependence coefficient

  Author: Chen Yang, Wenjun Jiang, Jiang Wu, Xin Liu, Zhichuan Li

• A generalization of the slashed distribution via alpha skew normal distribution

  Author: Wenhao Gui

• Empirical likelihood for varying-coefficient semiparametric mixed-effects errors-in-variables models with longitudinal data

  Author: Xing-cai Zhou, Jin-Guan Lin

• A first step to implement Gillespie’s algorithm with rejection sampling

  Author: Qihong Duan, Junrong Liu

英文介紹

Statistical Methods And Applications雜志英文介紹

Statistical Methods and Applications (SMA), the official Journal of the Italian Statistical Society, is an international journal aiming at promoting the development of statistical methodology and its applications in the biological, demographic, economic, health, physical, social and other scientific domains. SMA includes two sections: The first is devoted to statistical methodology and publishes original contributions in all fields of Statistics and, occasionally, critical reviews and discussions on recent developments in statistical theory and methods. The second section of the journal publishes papers devoted to original and/or innovative applications of recent statistical methodology and complex approaches of statistical data analysis. The journal is published four times a year. SMA provides a forum for the presentation of Italian and international research on methods that are of central interest to modern statistics. Discussions on methodological foundations and methods that have broad applications will be welcome and preferred.