Sequential Analysis-Design Methods and Applications

期刊信息导读

1. Sequential Analysis-Design Methods and Applications基本信息
• 2018-2019最新影响因子
• 2022年6月28日更新影响因子
• 研究方向
• 官方网站
• 投稿网址
• 年文章数
2. Sequential Analysis-Design Methods and Applications中科院SCI期刊分区
3. 历年Sequential Analysis-Design Methods and Applications影响因子趋势图
4. Sequential Analysis-Design Methods and Applications期刊英文简介
5. Sequential Analysis-Design Methods and Applications期刊中文简介

Sequential Analysis-Design Methods and Applications基本信息

简称：SEQUENTIAL ANAL

中文名称：顺序分析-设计方法和应用

研究方向：数学

2018-2019最新影响因子：0.5

2022年6月28日更新影响因子：1.038

SCI类别：SCIE

是否OA开放访问：No

出版地：UNITED STATES

年文章数：31

涉及的研究方向：数学-统计学与概率论

官方网站：http://www.tandfonline.com/toc/lsqa20/current

投稿网址：https://www.tandfonline.com/action/authorSubmission?journalCode=lsqa20&page=instructions

PMC链接：http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0747-4946%5BISSN%5D

Sequential Analysis-Design Methods and Applications期刊英文简介

The purpose of Sequential Analysis is to contribute to theoretical and applied aspects of sequential methodologies in all areas of statistical science. Published papers highlight the development of new and important sequential approaches.Interdisciplinary articles that emphasize the methodology of practical value to applied researchers and statistical consultants are highly encouraged. Papers that cover contemporary areas of applications including animal abundance, bioequivalence, communication science, computer simulations, data mining, directional data, disease mapping, environmental sampling, genome, imaging, microarrays, networking, parallel processing, pest management, sonar detection, spatial statistics, tracking, and engineering are deemed especially important. Of particular value are expository review articles that critically synthesize broad-based statistical issues. Papers on case-studies are also considered. All papers are refereed.

Sequential Analysis-Design Methods and Applications期刊中文简介

序贯分析的目的是在统计科学的所有领域对序贯方法的理论和应用方面作出贡献。发表的论文强调了新的和重要的顺序方法的发展。强调对应用研究人员和统计顾问具有实用价值的方法的跨学科文章受到高度鼓励。包括动物数量、生物等效性、通信科学、计算机模拟、数据挖掘、方向数据、疾病绘图、环境采样、基因组、成像、微阵列、网络、并行处理、害虫管理、声纳探测、空间统计、跟踪和工程等应用领域的论文被认为特别重要。特别有价值的是解释性评论文章，批判性地综合广泛的统计问题。还审议了关于个案研究的论文。所有的论文都要经过评审。

中科院SCI期刊分区：

Sequential Analysis-Design Methods and Applications影响因子

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