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SCANDINAVIAN JOURNAL OF STATISTICS

SCANDINAVIAN JOURNAL OF STATISTICS

SCAND J STAT
影响因子：1
是否综述期刊：否
是否预警：不在预警名单内
是否OA：否
出版国家/地区：SWEDEN
出版社：Wiley-Blackwell Publishing Ltd
发刊时间：1974
发刊频率：Quarterly
收录数据库：SCIE/Scopus收录
ISSN：0303-6898

期刊介绍

The Scandinavian Journal of Statistics is internationally recognised as one of the leading statistical journals in the world. It was founded in 1974 by four Scandinavian statistical societies. Today more than eighty per cent of the manuscripts are submitted from outside Scandinavia.It is an international journal devoted to reporting significant and innovative original contributions to statistical methodology, both theory and applications.The journal specializes in statistical modelling showing particular appreciation of the underlying substantive research problems.The emergence of specialized methods for analysing longitudinal and spatial data is just one example of an area of important methodological development in which the Scandinavian Journal of Statistics has a particular niche.
《斯堪的纳维亚统计期刊》是国际公认的世界领先的统计期刊之一。1974年由四个斯堪的纳维亚统计学会成立。今天，80%以上的手稿是从斯堪的纳维亚以外地区提交的，这是一份国际刊物，专门报道对统计方法的重大和创新的原创性贡献，该杂志专门研究统计模型，特别重视基本的实质性研究问题。分析纵向和空间数据的专门方法的出现，只是《斯堪的纳维亚统计学杂志》在方法学方面取得重要发展的一个例子。
年发文量 57
国人发稿量 15.63
国人发文占比 0.27%
自引率 -
平均录取率0
平均审稿周期 较慢,6-12周
版面费 US$3300
偏重研究方向 数学-统计学与概率论
期刊官网 http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-9469
投稿链接 https://mc.manuscriptcentral.com/sjs

期刊高被引文献

Wild adaptive trimming for robust estimation and cluster analysis
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12349
Hierarchical marginal models with latent uncertainty
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12366
Bayesian estimation of the efficient frontier
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12372
Second‐order analysis of marked inhomogeneous spatiotemporal point processes: Applications to earthquake data
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12367
Focused information criteria for copulas
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12387
A general central limit theorem and a subsampling variance estimator for α‐mixing point processes
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12389
Bias‐reduced marginal Akaike information criteria based on a Monte Carlo method for linear mixed‐effects models
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12339
On the accuracy in high‐dimensional linear models and its application to genomic selection
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12352
The large sample coverage probability of confidence intervals in general regression models after a preliminary hypothesis test
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/sjos.12358
Wavelet-based estimators for mixture regression
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12344
Efficient estimation in partially linear single‐index models for longitudinal data
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12340
Nonparametric extreme conditional expectile estimation
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12502
A unified empirical likelihood approach for testing MCAR and subsequent estimation
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12351
An unconditional space–time scan statistic for ZIP‐distributed data
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12341
Testing the equality of two high‐dimensional spatial sign covariance matrices
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12350
Estimating nonlinear additive models with nonstationarities and correlated errors
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12342
On the asymptotic non‐equivalence of efficient‐GMM and MEL estimators in models with missing data
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12354
Time-change models for asymmetric processes
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12382
Bootstrapping Mean Squared Errors of Robust Small-Area Estimators: Application to the Method-of-Payments Data
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12394
A smoothed Q‐learning algorithm for estimating optimal dynamic treatment regimes
来源期刊：Scandinavian Journal of StatisticsDOI：10.1111/SJOS.12359

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
100.00%40.8%--

相关指数

影响因子
影响因子
年发文量
自引率
Cite Score

预警情况

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时间 预警情况
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
*来源：中科院《 国际期刊预警名单》

JCR分区

WOS分区等级：Q3区
版本 按学科 分区
WOS期刊SCI分区
WOS期刊SCI分区
WOS期刊SCI分区是指SCI官方（Web of Science）为每个学科内的期刊按照IF数值排 序，将期刊按照四等分的方法划分的Q1-Q4等级，Q1代表质量最高，即常说的1区期刊。
（2024-2025年最新版）
STATISTICS & PROBABILITY
Q3

中科院分区

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版本 大类学科 小类学科 Top期刊 综述期刊
2025年3月最新升级版
数学4区
STATISTICS & PROBABILITY 统计学与概率论
4区
否
否
2023年12月升级版
数学4区
STATISTICS & PROBABILITY 统计学与概率论
4区
否
否
2022年12月旧的升级版
数学4区
STATISTICS & PROBABILITY 统计学与概率论
4区
否
否