Journal Of The Royal Statistical Society Series C-applied Statistics

雜志介紹

Journal Of The Royal Statistical Society Series C-applied Statistics雜志介紹

《Journal Of The Royal Statistical Society Series C-applied Statistics》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱皇家統(tǒng)計學(xué)會雜志 C 系列應(yīng)用統(tǒng)計，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，最新CiteScore 指數(shù)為2.5。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• Penalized weighted least-squares estimate for variable selection on correlated multiply imputed data

  Author: Li, Yang; Yang, Haoyu; Yu, Haochen; Huang, Hanwen; Shen, Ye

英文介紹

Journal Of The Royal Statistical Society Series C-applied Statistics雜志英文介紹

The Journal of the Royal Statistical Society, Series C (Applied Statistics) is a journal of international repute for statisticians both inside and outside the academic world. The journal is concerned with papers which deal with novel solutions to real life statistical problems by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to them. At their heart therefore the papers in the journal are motivated by examples and statistical data of all kinds. The subject-matter covers the whole range of inter-disciplinary fields, e.g. applications in agriculture, genetics, industry, medicine and the physical sciences, and papers on design issues (e.g. in relation to experiments, surveys or observational studies).

A deep understanding of statistical methodology is not necessary to appreciate the content. Although papers describing developments in statistical computing driven by practical examples are within its scope, the journal is not concerned with simply numerical illustrations or simulation studies. The emphasis of Series C is on case-studies of statistical analyses in practice.