Editorial announcement: Journal of Time Series Analysis Distinguished Authors 2023

IF 1.2 4区数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Journal of Time Series Analysis Pub Date : 2023-09-17 DOI:10.1111/jtsa.12724

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 1-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), Volume 43 Issue 1 (January 2022), and Volume 44 Issue 1 (January 2023), the Journal of Time Series Analysis is very pleased to welcome

Suhasini Subba Rao

to the list of Journal of Time Series Analysis Distinguished Authors for 2023 based on her publications in the Journal appearing up to and including Volume 44 Issues 5–6 (September–November 2023).

查看原文本刊更多论文

编辑公告：时间序列分析期刊》2023 年杰出作者

为表彰对本期刊做出重大贡献的作者，《时间序列分析期刊》实施了一项计划，授予这些作者《时间序列分析期刊》杰出作者称号。获此殊荣的资格标准为 3.5 分，即作者自《时间序列分析学报》创刊以来，在该学报发表的每篇单篇文章可获 1 分，每篇双篇文章可获 ½ 分，每篇三篇文章可获 1/3 分，以此类推。杰出作者可免费在线订阅《期刊》1 年，以示奖励，同时还将获得一份获奖证书。除了之前在第 41 卷第 4 期（2020 年 7 月）、第 42 卷第 1 期（2021 年 1 月）、第 43 卷第 1 期（2022 年 1 月）和第 44 卷第 1 期（2023 年 1 月）公布的杰出作者名单之外，《时间序列分析学报》非常高兴地欢迎苏哈西尼-苏巴-拉托（Suhasini Subba Raoto）根据她在第 44 卷第 5-6 期（2023 年 9-11 月）（含第 5-6 期）之前在《时间序列分析学报》上发表的论文，将她列入 2023 年《时间序列分析学报》杰出作者名单。

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.