《應用統計學雜志》是一份世界領先的期刊，它為統計學家和實務工作者提供了一個交流的平臺，讓他們能夠明智地應用統計原則，并創新統計方法。生物及生物醫學商業、經濟、管理和金融計算機科學與信息技術數據科學生態教育工程遺傳學和基因組學醫學及相關學科運籌學社會科學編輯政策是發表嚴謹、清晰、易懂的論文，研究針對現實生活中的統計問題而開發的方法，預計這些方法將產生廣泛的科學影響。避免純粹的理論論文，但可以考慮那些明顯顯示具體應用潛力的理論發展論文。強烈鼓勵基于某一主題領域的真正挑戰，展示統計技術的創造性發展的論文。該雜志發表原創研究論文、評論文章和簡短的申請說明。一般來說，原始的研究論文應該在一個領域提出一到兩個挑戰，包括相關的數據，提供一個新的方法來解決挑戰，并證明所提出的方法已經回答了之前相關現有方法沒有正確或最佳地解決的問題。綜述文章應側重于一種或多種目前已被其他學科廣泛使用的統計研究方法，以及應用和對未來方向的討論。應用說明應至少說明對任何學科的數據挑戰創新地應用現有統計方法，并有令人信服的結果。

Journal of Applied Statistics is a world-leading journal which provides a forum for communication among statisticians and practitioners for judicious application of statistical principles and innovations of statistical methodology motivated by current and important real-world examples across a wide range of disciplines, including, but not limited to:biological and biomedical sciencesbusiness, economics, management and financecomputer science and information technologydata scienceecologyeducationengineeringgenetics and genomics medicine and related disciplinesoperations researchsocial sciencesThe editorial policy is to publish rigorous, clear and accessible papers on methods developed for real-life statistical problems, and which are anticipated to have a broad scientific impact. Purely theoretical papers are avoided but those on theoretical developments which clearly exhibit concrete applied potential may be considered. Papers demonstrating creative development of statistical techniques based on a true challenge in a subject area are strongly encouraged. The Journal publishes original research papers, review articles, and short application notes.In general, original research papers should present one or two challenges in an area, include relevant data, provide a novel method to solve challenges, and demonstrate that the proposed method has answered questions that were not properly or optimally addressed before by relevant existing methods. Review articles should focus on one or more current statistical research methods that have been widely used by other discipline(s), along with applications and a discussion for future directions. Application notes should at least illustrate innovative application of existing statistical method(s) to a data challenge in any discipline with convincing findings.