Sequential Analysis

期刊简介：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.

【译文】序列分析旨在为统计科学所有领域的序列方法的理论和应用方面做出贡献。发表的文章突出了新且重要的序列方法的发展。鼓励跨学科文章，强调对应用研究人员和统计顾问具有实际价值的方法。涵盖当代应用领域的文章，包括动物丰度、生物等效性、传播科学、计算机模拟、数据挖掘、方向数据、疾病映射、环境采样、基因组、成像、微阵列、网络、并行处理、害虫管理、声纳检测、空间统计学、跟踪和工程，被认为特别重要。特别有价值的是，解释性综述文章批判性地综合了广泛的统计问题。案例研究论文也被考虑在内。所有论文都经过同行评审。