2021年最新SCI期刊影响因子查询系统
JOURNAL OF MULTIVARIATE ANALYSIS 期刊详细信息
基本信息
期刊名称 | JOURNAL OF MULTIVARIATE ANALYSIS JOURNAL OF MULTIVARIATE ANALYSIS |
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期刊ISSN | 0047-259X |
期刊官方网站 | http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description |
是否OA | 否 |
出版商 | Academic Press Inc. |
出版周期 | Monthly |
始发年份 | 1971 |
年文章数 | 101 |
最新影响因子 | 1.387(2021) |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
---|---|---|---|
数学3区 | STATISTICS & PROBABILITY 统计学与概率论4区 | 否 | 否 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
---|---|---|---|---|---|
学科 | 排名 | 百分位 | 1.30 | 1.368 | 0.969 |
Mathematics Numerical Analysis |
24 / 51 | 53% |
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Decision Sciences Statistics, Probability and Uncertainty |
46 / 122 | 62% |
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Mathematics Statistics and Probability |
75 / 206 | 63% |
补充信息
自引率 | 8.90% |
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H-index | 57 |
SCI收录状况 |
Science Citation Index
Science Citation Index Expanded |
官方审稿时间 | |
网友分享审稿时间 | 数据统计中,敬请期待。 |
PubMed Central (PML) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0047-259X%5BISSN%5D |
投稿指南
期刊投稿网址 | http://ees.elsevier.com/jmva/ |
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收稿范围 | Founded in 1971, the Journal of Multivariate Analysis (JMVA) is the central venue for the publication of new, relevant methodology and particularly innovative applications pertaining to the analysis and interpretation of multidimensional data. The journal welcomes contributions to all aspects of multivariate data analysis and modeling, including cluster analysis, discriminant analysis, factor analysis, and multidimensional continuous or discrete distribution theory. Topics of current interest include, but are not limited to, inferential aspects of Copula modeling Functional data analysis Graphical modeling High-dimensional data analysis Image analysis Multivariate extreme-value theory Sparse modeling Spatial statistics Papers making substantial contributions to regression or time series analysis for multidimensional response variables are also invited. Submissions dealing with univariate models, including regression models with a single response variable and univariate time series models, are deemed to fall outside the journal's remit. JMVA is particularly interested in papers motivated by, and fit for, contemporary multivariate data analytic challenges. Methods should be validated through standard mathematical arguments that may be complemented with asymptotic arguments or computer-based experiments. Illustrations with relevant, original data are strongly encouraged when presented with clear contextual justification and explanation. Papers whose content is probabilistic in nature or whose main contribution is to substantive areas (e.g., actuarial science, biostatistics, economics, finance or hydrology) typically fall outside the journal's scope and will only be considered for publication if the statistical methodology used is both novel and broadly applicable. Finally, note that contributors to multivariate survival analysis, reliability theory and statistical quality control should submit their papers to journals specializing in these areas to ensure that their work reaches the targeted audience. |
收录体裁 | |
投稿指南 | https://www.elsevier.com/journals/journal-of-multivariate-analysis/0047-259x/guide-for-authors |
投稿模板 | |
参考文献格式 | https://www.elsevier.com/journals/journal-of-multivariate-analysis/0047-259x/guide-for-authors |
编辑信息 |