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.

序贯分析的目的是促进统计科学所有领域的序贯方法的理论和应用方面。已发表的论文重点介绍了新的和重要的序贯方法的发展。

强烈鼓励发表强调方法对应用研究人员和统计顾问具有实用价值的跨学科文章。涵盖当代应用领域的论文被认为尤为重要，包括动物丰度、生物等效性、通信科学、计算机模拟、数据挖掘、定向数据、疾病图谱、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。特别有价值的是批判性地综合广泛统计问题的说明性评论文章。案例研究论文也会被考虑。所有论文都经过评审。

该刊已被国际权威数据库SCIE收录，该刊致力于发表经过严格同行评审的高质量原创文章，反映STATISTICS & PROBABILITY领域的新进展、新技术、新成果，促进该领域科研交流和科研成果转化。该刊2023年影响因子为0.6，平均审稿速度为 ，近四年来没有被列入预警名单。如果您需要投稿发表服务及指导，可以联系我们的客服老师，我们专业专注服务期刊投稿协助10年，为您提供期刊投稿个性化定制服务，并且我们确保严格保密您的个人信息及稿件内容。