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。
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.
近年期刊自引率趋势图
JCR分区
| JCR分区等级 | JCR所属学科 | 分区 | 影响因子 |
| Q4 | STATISTICS & PROBABILITY | Q4 | 1.038 |
近年期刊影响因子趋势图
CiteScore数值
| CiteScore | SJR | SNIP | 学科类别 | 分区 | 排名 | 百分位 |
| 1.40 | 0.481 | 1.073 | 大类：Mathematics 小类：Statistics and Probability | Q3 | 159 / 250 |
36% |
| 大类：Mathematics 小类：Modeling and Simulation | Q4 | 234 / 303 |
22% |
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