Editorial Announcement: Journal of Time Series Analysis Distinguished Authors 2022

IF 1.2 4区数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Time Series Analysis Pub Date : 2022-12-07 DOI:10.1111/jtsa.12673

Robert Taylor

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引用次数: 0

Abstract

In recognition of authors who have made significant contributions to this Journal, the Journal of Time Series Analysis runs a scheme to honour those authors by naming them as a Journal of Time Series Analysis Distinguished Author. The qualifying criterion for this award is 3.5 points where authors are awarded 1 point for each single-authored article, ½ point for each double-authored article, 1/3 point for each triple-authored article, and so on, that they have published in the Journal of Time Series Analysis since its inception. Distinguished Authors are entitled to a one-year free on-line subscription to the Journal to mark the award, and will also receive a certificate commemorating the award.

In addition to the lists of Distinguished Authors announced previously in Volume 41 issue 4 (July 2020), Volume 42 Issue 1 (January 2021) and Volume 43 Issue 1 (January 2022), the Journal of Time Series Analysis is very pleased to welcome (in alphabetical order):

Francesco Bravo,

Evangelos E. Ioannidis,

Piotr Kokoszka,

Dong Li,

and

Pierre Perron

to the list of Journal of Time Series Analysis Distinguished Authors for 2022 based on their publications in the Journal appearing up to and including Volume 43 Issue 6 (November 2022).

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编辑公告：《时间序列分析杂志》杰出作者2022

为了表彰对本刊做出重大贡献的作者，《时间序列分析杂志》将为这些作者命名为《时间序列分析杂志杰出作者》。该奖项的合格标准是3.5分，其中作者每发表一篇单作者文章得1分，每发表一篇双作者文章得½分，每发表一篇三作者文章得1/3分，以此类推，他们在《时间序列分析杂志》(Journal of Time Series Analysis)上发表了文章。杰出作者有权免费在线订阅《华尔街日报》一年，以纪念获奖，并将获得获奖证书。除了先前在第41卷第4期(2020年7月)、第42卷第1期(2021年1月)和第43卷第1期(2022年1月)公布的杰出作者名单外，《时间序列分析杂志》非常高兴地欢迎(按字母顺序):Francesco Bravo,Evangelos E. Ioannidis,Piotr Kokoszka,Dong Li和pierre Perronto成为《时间序列分析杂志》2022年杰出作者名单，基于他们在《时间序列分析杂志》上发表的文章，直到第43卷第6期(2022年11月)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Time Series Analysis 数学-数学跨学科应用

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： During the last 30 years Time Series Analysis has become one of the most important and widely used branches of Mathematical Statistics. Its fields of application range from neurophysiology to astrophysics and it covers such well-known areas as economic forecasting, study of biological data, control systems, signal processing and communications and vibrations engineering. The Journal of Time Series Analysis started in 1980, has since become the leading journal in its field, publishing papers on both fundamental theory and applications, as well as review papers dealing with recent advances in major areas of the subject and short communications on theoretical developments. The editorial board consists of many of the world''s leading experts in Time Series Analysis.

期刊最新文献

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