Statistics & Probability Letters SCIE
國際簡稱：STAT PROBABIL LETT 參考譯名：統計和概率信函
主要研究方向：數學-統計學與概率論 非預警期刊 審稿周期： 約6.0個月
《統計和概率信函》(Statistics & Probability Letters)是一本由Elsevier出版的以數學-統計學與概率論為研究特色的國際期刊，發表該領域相關的原創研究文章、評論文章和綜述文章，及時報道該領域相關理論、實踐和應用學科的最新發現，旨在促進該學科領域科學信息的快速交流。該期刊是一本未開放期刊，近三年沒有被列入預警名單。
Statistics & Probability Letters adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. It features concise articles, rapid publication and broad coverage of the statistics and probability literature.
Statistics & Probability Letters is a refereed journal. Articles will be limited to six journal pages (13 double-space typed pages) including references and figures. Apart from the six-page limitation, originality, quality and clarity will be the criteria for choosing the material to be published in Statistics & Probability Letters. Every attempt will be made to provide the first review of a submitted manuscript within three months of submission.
The proliferation of literature and long publication delays have made it difficult for researchers and practitioners to keep up with new developments outside of, or even within, their specialization. The aim of Statistics & Probability Letters is to help to alleviate this problem. Concise communications (letters) allow readers to quickly and easily digest large amounts of material and to stay up-to-date with developments in all areas of statistics and probability.
The mainstream of Letters will focus on new statistical methods, theoretical results, and innovative applications of statistics and probability to other scientific disciplines. Key results and central ideas must be presented in a clear and concise manner. These results may be part of a larger study that the author will submit at a later time as a full length paper to SPL or to another journal. Theory and methodology may be published with proofs omitted, or only sketched, but only if sufficient support material is provided so that the findings can be verified. Empirical and computational results that are of significant value will be published.
Statistics & Probability Letters期刊信息
- ISSN：0167-7152
- 出版語言：English
- 是否OA：未開放
- E-ISSN：1879-2103
- 出版地區：NETHERLANDS
- 是否預警：否
- 出版商：Elsevier
- 出版周期：Semimonthly
- 創刊時間：1982
- 開源占比：0.0596
- Gold OA文章占比：16.50%
- OA被引用占比：0.0353...
- 出版國人文章占比：0
- 出版撤稿占比：0
- 研究類文章占比：100.00%
Statistics & Probability Letters CiteScore評價數據（2024年最新版）
| CiteScore | SJR | SNIP | CiteScore 指數 | ||||||||||||
| 1.6 | 0.448 | 0.894 |
|
名詞解釋：CiteScore 是衡量期刊所發表文獻的平均受引用次數，是在 Scopus 中衡量期刊影響力的另一個指標。當年CiteScore 的計算依據是期刊最近4年（含計算年度）的被引次數除以該期刊近四年發表的文獻數。例如，2022年的 CiteScore 計算方法為：2022年的 CiteScore =2019-2022年收到的對2019-2022年發表的文件的引用數量÷2019-2022年發布的文獻數量 注：文獻類型包括：文章、評論、會議論文、書籍章節和數據論文。
Statistics & Probability Letters中科院評價數據
中科院 2023年12月升級版
| Top期刊 | 綜述期刊 | 大類學科 | 小類學科 | ||
| 否 | 否 | 數學 | 4區 | STATISTICS & PROBABILITY 統計學與概率論 | 4區 |
中科院 2022年12月升級版
| Top期刊 | 綜述期刊 | 大類學科 | 小類學科 | ||
| 否 | 否 | 數學 | 4區 | STATISTICS & PROBABILITY 統計學與概率論 | 4區 |
中科院 2021年12月舊的升級版
| Top期刊 | 綜述期刊 | 大類學科 | 小類學科 | ||
| 否 | 否 | 數學 | 4區 | STATISTICS & PROBABILITY 統計學與概率論 | 4區 |
中科院 2021年12月基礎版
| Top期刊 | 綜述期刊 | 大類學科 | 小類學科 | ||
| 否 | 否 | 數學 | 4區 | STATISTICS & PROBABILITY 統計學與概率論 | 4區 |
中科院 2021年12月升級版
| Top期刊 | 綜述期刊 | 大類學科 | 小類學科 | ||
| 否 | 否 | 數學 | 4區 | STATISTICS & PROBABILITY 統計學與概率論 | 4區 |
中科院 2020年12月舊的升級版
| Top期刊 | 綜述期刊 | 大類學科 | 小類學科 | ||
| 否 | 否 | 數學 | 4區 | STATISTICS & PROBABILITY 統計學與概率論 | 4區 |
Statistics & Probability Letters JCR評價數據（2023-2024年最新版）
| 按JIF指標學科分區 | 收錄子集 | 分區 | 排名 | 百分位 |
| 學科：STATISTICS & PROBABILITY | SCIE | Q3 | 102 / 168 |
39.6% |
| 按JCI指標學科分區 | 收錄子集 | 分區 | 排名 | 百分位 |
| 學科：STATISTICS & PROBABILITY | SCIE | Q3 | 117 / 168 |
30.65% |
Statistics & Probability Letters歷年數據統計
影響因子
中科院分區
Statistics & Probability Letters中國學者發文選摘
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1、A deviation inequality for increment of a G-Brownian motion under G-expectation and applications
Author: Xu, Jie
Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 198, Issue , pp. -. DOI: 10.1016/j.spl.2023.109848
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2、Adaptive and efficient estimation in the Gaussian sequence model
Author: Peng, Jingfu
Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 195, Issue , pp. -. DOI: 10.1016/j.spl.2022.109762
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3、Domain of attraction of quasi-stationary distribution for absorbing Markov processes
Author: Zhang, Hanjun; Mo, Yongxiang
Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 192, Issue , pp. -. DOI: 10.1016/j.spl.2022.109692
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4、A lack-of-fit test for quantile regression process models
Author: Feng, Xingdong; Liu, Qiaochu; Wang, Caixing
Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 192, Issue , pp. -. DOI: 10.1016/j.spl.2022.109680
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5、Cramer moderate deviations for a supercritical Galton-Watson process
Author: Doukhan, Paul; Fan, Xiequan; Gao, Zhi-Qiang
Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 192, Issue , pp. -. DOI: 10.1016/j.spl.2022.109711
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6、Cram?r-type moderate deviations for the log-likelihood ratio of inhomogeneous Ornstein-Uhlenbeck processes
Author: Cui, Jiazhen; Liu, Qiaojing
Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 192, Issue , pp. -. DOI: 10.1016/j.spl.2022.109690
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7、Stationary distributions for stochastic differential equations with memory driven by ?-stable processes
Author: Wang, Wei; Wang, Xiulian
Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 195, Issue , pp. -. DOI: 10.1016/j.spl.2022.109766
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8、Moderate deviations of hitting times of a family of density-dependent Markov chains
Author: He, Yuheng; Xue, Xiaofeng
Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 195, Issue , pp. -. DOI: 10.1016/j.spl.2023.109780
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