Journal Title:Mathematical Methods Of Statistics
Mathematical Methods of Statistics is an internationally renowned peer-reviewed journal that focuses on the mathematical foundations of statistical theory. This journal is committed to providing a high-quality publishing platform for academia and industry, mainly publishing rigorously proven original research papers that delve into the mathematical principles of statistics and promote cutting-edge developments in statistical theory and methods. In addition to research papers, journals occasionally publish review articles that provide in-depth analysis and insights into specific statistical issues, promoting academic discussion and understanding of statistical theory.
This journal attaches great importance to theoretical innovation in statistical application papers, encouraging contributors to reveal and develop new statistical methods while solving practical problems. In this way, the magazine not only pushes the boundaries of statistical theory, but also promotes the application of statistical methods in various disciplines, including but not limited to economics, biology, medicine, engineering, and social sciences. As a forefront of statistical research, it provides a channel for the study of advanced statistical methods, while also supporting research that effectively utilizes these methods or promotes their development. The high-quality content and strict review process of this journal ensure that the published research results have significant academic value and practical application potential, making it an important resource for statistical researchers, scholars, and practitioners.
《統(tǒng)計數(shù)學方法》是一本享有國際聲譽的同行評審期刊,專注于統(tǒng)計理論的數(shù)學基礎(chǔ)。該期刊致力于為學術(shù)界和業(yè)界提供一個高質(zhì)量的出版平臺,主要刊載具有嚴謹證明的原創(chuàng)研究論文,這些論文深入探討統(tǒng)計學的數(shù)學原理,推動了統(tǒng)計理論與方法的前沿發(fā)展。除了研究論文,雜志還偶爾發(fā)表評論文章,對特定統(tǒng)計問題提供深入的分析和見解,促進學術(shù)界對于統(tǒng)計理論的討論和理解。
該期刊特別重視統(tǒng)計應用論文中的理論創(chuàng)新,鼓勵投稿者在解決實際問題的同時,揭示并發(fā)展新的統(tǒng)計方法。通過這種方式,雜志不僅推動了統(tǒng)計理論的邊界,還促進了統(tǒng)計方法在各學科領(lǐng)域的應用,包括但不限于經(jīng)濟學、生物學、醫(yī)學、工程學和社會科學。作為統(tǒng)計學研究的前沿陣地,它為高級統(tǒng)計方法的研究提供了渠道,同時也為有效利用這些方法或促進其發(fā)展的研究提供了支持。該期刊的高質(zhì)量內(nèi)容和嚴格評審流程確保了所發(fā)表的研究成果具有重要的學術(shù)價值和實際應用潛力,是統(tǒng)計學研究者、學者和實踐者的重要資源。
Mathematical Methods Of Statistics由Pleiades Publishing出版商出版,收稿方向涵蓋STATISTICS & PROBABILITY全領(lǐng)域,平均審稿速度 ,影響因子指數(shù)0.8,該期刊近期沒有被列入國際期刊預警名單,廣大學者值得一試。
按JIF指標學科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
學科:STATISTICS & PROBABILITY | ESCI | Q3 | 109 / 168 |
35.4% |
按JCI指標學科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
學科:STATISTICS & PROBABILITY | ESCI | Q4 | 150 / 168 |
11.01% |
名詞解釋:
WOS即Web of Science,是全球獲取學術(shù)信息的重要數(shù)據(jù)庫,Web of Science包括自然科學、社會科學、藝術(shù)與人文領(lǐng)域的信息,來自全世界近9,000種最負盛名的高影響力研究期刊及12,000多種學術(shù)會議多學科內(nèi)容。給期刊分區(qū)時會按照某一個學科領(lǐng)域劃分,根據(jù)這一學科所有按照影響因子數(shù)值降序排名,然后平均分成4等份,期刊影響因子值高的就會在高分區(qū)中,最后的劃分結(jié)果分別是Q1,Q2,Q3,Q4,Q1代表質(zhì)量最高。
CiteScore | SJR | SNIP | CiteScore排名 | ||||||||||||
0.6 | 0.175 | 0.491 |
|
名詞解釋:
CiteScore:衡量期刊所發(fā)表文獻的平均受引用次數(shù)。
SJR:SCImago 期刊等級衡量經(jīng)過加權(quán)后的期刊受引用次數(shù)。引用次數(shù)的加權(quán)值由施引期刊的學科領(lǐng)域和聲望 (SJR) 決定。
SNIP:每篇文章中來源出版物的標準化影響將實際受引用情況對照期刊所屬學科領(lǐng)域中預期的受引用情況進行衡量。
是否OA開放訪問: | h-index: | 年文章數(shù): |
未開放 | -- | 14 |
Gold OA文章占比: | 2021-2022最新影響因子(數(shù)據(jù)來源于搜索引擎): | 開源占比(OA被引用占比): |
0.00% | 0.8 | |
研究類文章占比:文章 ÷(文章 + 綜述) | 期刊收錄: | 中科院《國際期刊預警名單(試行)》名單: |
100.00% | SCIE | 否 |
歷年IF值(影響因子):
歷年引文指標和發(fā)文量:
歷年自引數(shù)據(jù):
若用戶需要出版服務,請聯(lián)系出版商。