Journal Of Applied Statistics

Journal Of Applied Statistics

应用统计杂志

  • 4区 中科院分区
  • Q2 JCR分区

期刊简介

《Journal Of Applied Statistics》是由Routledge出版社于1984年创办的英文国际期刊(ISSN: 0266-4763,E-ISSN: 1360-0532),该期刊长期致力于统计学与概率论领域的创新研究,主要研究方向为数学-统计学与概率论。作为SCIE收录期刊(JCR分区 Q2,中科院 4区),本刊采用OA未开放获取模式(OA占比0.0194...%),以发表统计学与概率论领域等方向的原创性研究为核心(研究类文章占比100.00%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在86篇,确保学术质量与前沿性。成果覆盖Web of Science、Scopus等国际权威数据库,为学者提供推动数学领域高水平交流平台。

投稿咨询

投稿提示

Journal Of Applied Statistics审稿周期约为 一般,3-8周 。该刊近年未被列入国际预警名单,年发文量约86篇,录用竞争适中,主题需确保紧密契合数学前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 数学 大类学科
  • English 出版语言
  • 是否预警
  • SCIE 期刊收录
  • 86 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
数学
4区
STATISTICS & PROBABILITY 统计学与概率论
4区

中科院 SCI 期刊分区 2022年12月升级版

Top期刊 综述期刊 大类学科 小类学科
数学
4区
STATISTICS & PROBABILITY 统计学与概率论
4区

JCR分区

按JIF指标学科分区 收录子集 分区 排名 百分位
学科:STATISTICS & PROBABILITY SCIE Q2 74 / 168

56.3%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:STATISTICS & PROBABILITY SCIE Q2 67 / 168

60.42%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:3.4 SJR:0.545 SNIP:1.196
学科类别 分区 排名 百分位
大类:Mathematics 小类:Statistics and Probability Q1 63 / 278

77%

大类:Mathematics 小类:Statistics, Probability and Uncertainty Q2 44 / 168

74%

期刊发文

  • Model estimation and selection for partial linear varying coefficient EV models with longitudinal data

    Author: Zhao, Mingtao; Xu, Xiaoli; Zhu, Yanling; Zhang, Kongsheng; Zhou, Yan

    Journal: JOURNAL OF APPLIED STATISTICS. 2023; Vol. 50, Issue 3, pp. 512-534. DOI: 10.1080/02664763.2021.1904847

  • A distributed multiple sample testing for massive data

    Author: Xie Xiaoyue; Shi Jian; Song Kai

    Journal: JOURNAL OF APPLIED STATISTICS. 2023; Vol. 50, Issue 3, pp. 555-573. DOI: 10.1080/02664763.2021.1911967

  • An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks

    Author: Fan, Fang; Chu, Shu-Chuan; Pan, Jeng-Shyang; Lin, Chuang; Zhao, Huiqi

    Journal: JOURNAL OF APPLIED STATISTICS. 2023; Vol. 50, Issue 3, pp. 592-609. DOI: 10.1080/02664763.2021.1929089

  • Modeling multivariate cyber risks: deep learning dating extreme value theory

    Author: Zhang Wu, Mingyue; Luo, Jinzhu; Fang, Xing; Xu, Maochao; Zhao, Peng

    Journal: JOURNAL OF APPLIED STATISTICS. 2023; Vol. 50, Issue 3, pp. 610-630. DOI: 10.1080/02664763.2021.1936468

  • Analysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studies

    Author: Zhang, Wei; Wu, Colin O.; Ma, Xiaoyang; Tian, Xin; Li, Qizhai

    Journal: JOURNAL OF APPLIED STATISTICS. 2023; Vol. 50, Issue 3, pp. 631-658. DOI: 10.1080/02664763.2021.1937581

  • Noise-insensitive discriminative subspace fuzzy clustering

    Author: Zhi, Xiaobin; Yu, Tongjun; Bi, Longtao; Li, Yalan

    Journal: JOURNAL OF APPLIED STATISTICS. 2023; Vol. 50, Issue 3, pp. 659-674. DOI: 10.1080/02664763.2021.1937583

  • Identification of novel genes for triple-negative breast cancer with semiparametric gene-based analysis

    Author: Liu, Xiaotong; Tian, Guoliang; Liu, Zhenqiu

    Journal: JOURNAL OF APPLIED STATISTICS. 2023; Vol. 50, Issue 3, pp. 691-702. DOI: 10.1080/02664763.2021.1973387

  • A generalized l(2,p)-norm regression based feature selection algorithm

    Author: Zhi, X.; Liu, J.; Wu, S.; Niu, C.

    Journal: JOURNAL OF APPLIED STATISTICS. 2023; Vol. 50, Issue 3, pp. 703-723. DOI: 10.1080/02664763.2021.1975662