Sequential Analysis Instructions for Authors

摘要

The purpose of Sequential Analysis is to publish contributions in both theoretical and applied aspects of sequential methodologies in all areas of statistical science. The journal highlights developments of new and important sequential methods as well as novel use of existing sequential methods. Interdisciplinary articles and articles emphasizing methodologies that are expected to be of practical value to applied researchers and statistical consultants are especially encouraged. Articles that deal with contemporary areas of applications including animal abundance, bioequivalence. clinical trials, communication science, computer simulations, data mining, directional data, disease mapping, environmental sampling, finance, genome, imaging, microarrays, networking, parallel processing, pest management, sonar detection, spatial statistics, tracking, and engineering are highly encouraged. Expository, review articles critically synthesizing broad-based statistical issues are deemed particularly valuable. Novel case-study articles are also welcome. The published articles should emphasize both readability and relevance in the eyes of ALL statisticians. All papers are refereed.