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Journal Of Statistical Planning And Inference

Journal Of Statistical Planning And InferenceSCIE

國際簡稱:J STAT PLAN INFER  參考譯名:統(tǒng)計規(guī)劃與推理雜志

  • 中科院分區(qū)

    4區(qū)

  • CiteScore分區(qū)

    Q2

  • JCR分區(qū)

    Q3

基本信息:
ISSN:0378-3758
E-ISSN:1873-1171
是否OA:未開放
是否預(yù)警:否
TOP期刊:否
出版信息:
出版地區(qū):NETHERLANDS
出版商:Elsevier
出版語言:English
出版周期:Monthly
出版年份:1977
研究方向:數(shù)學(xué)-統(tǒng)計學(xué)與概率論
評價信息:
影響因子:0.8
H-index:66
CiteScore指數(shù):2.1
SJR指數(shù):0.736
SNIP指數(shù):1.19
發(fā)文數(shù)據(jù):
Gold OA文章占比:18.37%
研究類文章占比:96.88%
年發(fā)文量:64
自引率:0.1111...
開源占比:0.0433
出版撤稿占比:0
出版國人文章占比:0
OA被引用占比:0.0152...
英文簡介 期刊介紹 CiteScore數(shù)據(jù) 中科院SCI分區(qū) JCR分區(qū) 發(fā)文數(shù)據(jù) 常見問題

英文簡介Journal Of Statistical Planning And Inference期刊介紹

The Journal of Statistical Planning and Inference offers itself as a multifaceted and all-inclusive bridge between classical aspects of statistics and probability, and the emerging interdisciplinary aspects that have a potential of revolutionizing the subject. While we maintain our traditional strength in statistical inference, design, classical probability, and large sample methods, we also have a far more inclusive and broadened scope to keep up with the new problems that confront us as statisticians, mathematicians, and scientists.

We publish high quality articles in all branches of statistics, probability, discrete mathematics, machine learning, and bioinformatics. We also especially welcome well written and up to date review articles on fundamental themes of statistics, probability, machine learning, and general biostatistics. Thoughtful letters to the editors, interesting problems in need of a solution, and short notes carrying an element of elegance or beauty are equally welcome.

期刊簡介Journal Of Statistical Planning And Inference期刊介紹

《Journal Of Statistical Planning And Inference》自1977出版以來,是一本數(shù)學(xué)優(yōu)秀雜志。致力于發(fā)表原創(chuàng)科學(xué)研究結(jié)果,并為數(shù)學(xué)各個領(lǐng)域的原創(chuàng)研究提供一個展示平臺,以促進數(shù)學(xué)領(lǐng)域的的進步。該刊鼓勵先進的、清晰的闡述,從廣泛的視角提供當(dāng)前感興趣的研究主題的新見解,或?qū)彶槎嗄陙砟硞€重要領(lǐng)域的所有重要發(fā)展。該期刊特色在于及時報道數(shù)學(xué)領(lǐng)域的最新進展和新發(fā)現(xiàn)新突破等。該刊近一年未被列入預(yù)警期刊名單,目前已被權(quán)威數(shù)據(jù)庫SCIE收錄,得到了廣泛的認(rèn)可。

該期刊投稿重要關(guān)注點:

Cite Score數(shù)據(jù)(2024年最新版)Journal Of Statistical Planning And Inference Cite Score數(shù)據(jù)

  • CiteScore:2.1
  • SJR:0.736
  • SNIP:1.19
學(xué)科類別 分區(qū) 排名 百分位
大類:Mathematics 小類:Statistics and Probability Q2 131 / 278

53%

大類:Mathematics 小類:Statistics, Probability and Uncertainty Q2 84 / 168

50%

大類:Mathematics 小類:Applied Mathematics Q3 329 / 635

48%

CiteScore 是由Elsevier(愛思唯爾)推出的另一種評價期刊影響力的文獻計量指標(biāo)。反映出一家期刊近期發(fā)表論文的年篇均引用次數(shù)。CiteScore以Scopus數(shù)據(jù)庫中收集的引文為基礎(chǔ),針對的是前四年發(fā)表的論文的引文。CiteScore的意義在于,它可以為學(xué)術(shù)界提供一種新的、更全面、更客觀地評價期刊影響力的方法,而不僅僅是通過影響因子(IF)這一單一指標(biāo)來評價。

歷年Cite Score趨勢圖

中科院SCI分區(qū)Journal Of Statistical Planning And Inference 中科院分區(qū)

中科院 2023年12月升級版 綜述期刊:否 Top期刊:否
大類學(xué)科 分區(qū) 小類學(xué)科 分區(qū)
數(shù)學(xué) 4區(qū) STATISTICS & PROBABILITY 統(tǒng)計學(xué)與概率論 4區(qū)

中科院分區(qū)表 是以客觀數(shù)據(jù)為基礎(chǔ),運用科學(xué)計量學(xué)方法對國際、國內(nèi)學(xué)術(shù)期刊依據(jù)影響力進行等級劃分的期刊評價標(biāo)準(zhǔn)。它為我國科研、教育機構(gòu)的管理人員、科研工作者提供了一份評價國際學(xué)術(shù)期刊影響力的參考數(shù)據(jù),得到了全國各地高校、科研機構(gòu)的廣泛認(rèn)可。

中科院分區(qū)表 將所有期刊按照一定指標(biāo)劃分為1區(qū)、2區(qū)、3區(qū)、4區(qū)四個層次,類似于“優(yōu)、良、及格”等。最開始,這個分區(qū)只是為了方便圖書管理及圖書情報領(lǐng)域的研究和期刊評估。之后中科院分區(qū)逐步發(fā)展成為了一種評價學(xué)術(shù)期刊質(zhì)量的重要工具。

歷年中科院分區(qū)趨勢圖

JCR分區(qū)Journal Of Statistical Planning And Inference JCR分區(qū)

2023-2024 年最新版
按JIF指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
學(xué)科:STATISTICS & PROBABILITY SCIE Q3 109 / 168

35.4%

按JCI指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
學(xué)科:STATISTICS & PROBABILITY SCIE Q3 92 / 168

45.54%

JCR分區(qū)的優(yōu)勢在于它可以幫助讀者對學(xué)術(shù)文獻質(zhì)量進行評估。不同學(xué)科的文章引用量可能存在較大的差異,此時單獨依靠影響因子(IF)評價期刊的質(zhì)量可能是存在一定問題的。因此,JCR將期刊按照學(xué)科門類和影響因子分為不同的分區(qū),這樣讀者可以根據(jù)自己的研究領(lǐng)域和需求選擇合適的期刊。

歷年影響因子趨勢圖

本刊中國學(xué)者近年發(fā)表論文

  • 1、Construction of uniform projection designs via level permutation and expansion

    Author: Zhou, Yishan; Xiao, Qian; Sun, Fasheng

    Journal: JOURNAL OF STATISTICAL PLANNING AND INFERENCE. 2023; Vol. 222, Issue , pp. 209-225. DOI: 10.1016/j.jspi.2022.06.010

  • 2、An integrated precision matrix estimation for multivariate regression problems

    Author: Yang, Yuehan; Xia, Siwei

    Journal: JOURNAL OF STATISTICAL PLANNING AND INFERENCE. 2023; Vol. 222, Issue , pp. 261-272. DOI: 10.1016/j.jspi.2022.07.002

  • 3、Results on constructing s(n-m) regular designs with general minimum lower-order confounding

    Author: Kong, Qingxun; Li, Zhiming; Chen, Tao; Zhang, Ge

    Journal: JOURNAL OF STATISTICAL PLANNING AND INFERENCE. 2023; Vol. 222, Issue , pp. 122-131. DOI: 10.1016/j.jspi.2022.06.002

  • 4、Overlap weight and propensity score residual for heterogeneous effects: A review with extensions

    Author: Choi, Jin-young; Lee, Myoung-jae

    Journal: JOURNAL OF STATISTICAL PLANNING AND INFERENCE. 2023; Vol. 222, Issue , pp. 22-37. DOI: 10.1016/j.jspi.2022.04.003

  • 5、Moment estimator for an AR(1) model driven by a long memory Gaussian noise

    Author: Chen, Yong; Li, Ying; Tian, Li

    Journal: JOURNAL OF STATISTICAL PLANNING AND INFERENCE. 2023; Vol. 222, Issue , pp. 94-107. DOI: 10.1016/j.jspi.2022.06.003

  • 6、Model constraints independent optimal subsampling probabilities for softmax regression

    Author: Yao, Yaqiong; Zou, Jiahui; Wang, HaiYing

    Journal: JOURNAL OF STATISTICAL PLANNING AND INFERENCE. 2023; Vol. 225, Issue , pp. 188-201. DOI: 10.1016/j.jspi.2022.12.004

  • 7、Feature selection in ultrahigh-dimensional additive models with heterogeneous frequency component functions

    Author: Liu, Yuyang; Luo, Shan

    Journal: JOURNAL OF STATISTICAL PLANNING AND INFERENCE. 2023; Vol. 225, Issue , pp. 243-265. DOI: 10.1016/j.jspi.2023.01.004

  • 8、Empirical likelihood in single-index quantile regression with high dimensional and missing observations

    Author: Wang, Bao-Hua; Liang, Han-Ying

    Journal: JOURNAL OF STATISTICAL PLANNING AND INFERENCE. 2023; Vol. 226, Issue , pp. 1-19. DOI: 10.1016/j.jspi.2023.01.005

投稿常見問題

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