Statistical Theory And Related Fields

Statistical Theory and Related Fields is an international academic journal dedicated to the field of statistical theory and its applications. Its aim is to provide a communication platform for researchers in statistics and related fields, promote the development of statistical theory, and explore its application in practical problems. The magazine covers various aspects of statistics, including but not limited to parameter estimation, hypothesis testing, non parametric methods, Bayesian statistics, time series analysis, multivariate statistical analysis, biostatistics, machine learning, data mining, and more. It not only focuses on the research results of pure theory, but also attaches importance to how these theories can be applied to solve practical problems, such as data analysis in fields such as social sciences, medicine, biology, economics, engineering, etc.

《统计理论及相关领域》是一本专注于统计理论及其应用领域的国际性学术期刊，旨在为统计学及相关领域的研究者提供一个交流平台，促进统计理论的发展，并探索其在实际问题中的应用。杂志涵盖了统计学的各个方面，包括但不限于参数估计、假设检验、非参数方法、贝叶斯统计、时间序列分析、多元统计分析、生物统计学、机器学习、数据挖掘等。它不仅关注纯理论的研究成果，还重视这些理论如何被应用于解决实际问题，如社会科学、医学、生物学、经济学、工程学等领域中的数据分析。

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Mathematics-Analysis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0.7，平均审稿速度为 14 Weeks ，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。