METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY
期刊信息导读
- METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY基本信息
- METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY中科院SCI期刊分区
- 历年METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY影响因子趋势图
- METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY期刊英文简介
- METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY期刊中文简介
METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY基本信息
简称:METHODOL COMPUT APPL
研究方向:数学
2018-2019最新影响因子:0.746
2022年6月28日更新影响因子:0.880
SCI类别:SCIE
是否OA开放访问:No
出版地:UNITED STATES
出版周期:Quarterly
创刊年份:1999
年文章数:60
涉及的研究方向:数学-统计学与概率论
通讯方式:SPRINGER, VAN GODEWIJCKSTRAAT 30, DORDRECHT, NETHERLANDS, 3311 GZ
官方网站:http://link.springer.com/journal/11009
投稿网址:http://www.springer.com/journal/11009/submission
审稿速度:较慢,6-12周
平均录用比例:容易
PMC链接:http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1387-5841%5BISSN%5D
METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY期刊英文简介
Methodology and Computing in Applied Probability publishes high quality research and review articles in areas of applied probability that emphasize methodology and computing. The journal focuses on articles that examine important applications and that include detailed case studies.With its policy of attracting papers representing a broad range of interests, the journal covers such topics as algorithms, approximations, combinatorial and geometric probability, communication networks, extreme value theory, finance, image analysis, inequalities, information theory, mathematical physics, molecular biology, Monte Carlo methods, order statistics, queuing theory, reliability theory, and stochastic processes.
METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY期刊中文简介
出版高质量的研究和评论文章,在应用概率领域,强调方法和计算。该杂志的重点文章,审查重要的应用程序,包括详细的案例研究。的政策吸引论文代表广泛的利益,《华尔街日报》等主题覆盖算法,近似,组合和几何概率,通信网络,极值理论,金融、图像分析、不平等、信息理论、数学物理、分子生物学、蒙特卡罗方法、订单统计、排队论、可靠性理论和随机过程。
中科院SCI期刊分区:METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY分区
大类学科 |
小类学科 |
Top期刊 |
综述期刊 |
数学 3区 |
STATISTICS & PROBABILITY 统计学与概率论 |
4区 |
|
否 |
否 |
METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY影响因子
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