英國皇家統計學會期刊C輯(應用統計學)是一份享譽國際的期刊，為國內外的統計學家所著。該雜志關注的是通過調整或發展方法，或通過展示新的或現有的統計方法的適當應用來處理現實生活中統計問題的新的解決辦法的論文。因此，在他們的核心期刊上的論文是由各種各樣的例子和統計數據激勵的。本課程內容涵蓋所有跨學科領域，例如農業、遺傳學、工業、醫學和物理科學的應用，以及關于設計問題的論文(例如與實驗、調查或觀察性研究有關的論文)。對統計方法的深刻理解并不是欣賞其內容的必要條件。雖然由實際例子推動的統計計算發展的論文在其范圍內，但該雜志不關心簡單的數值插圖或模擬研究。C系列的重點是實際統計分析的個案研究。目標和范圍英國皇家統計學會的期刊C系列(應用統計學)促進了針對現實生活問題的統計方法的論文。應用應該是論文的中心，而不是說明性的，以激勵工作和證明任何方法的發展。所有的論文都應該對實質性的應用進行充分的描述，并為任何新理論提供理由。個案研究可能特別適當，并應包括一些背景細節，但也應作出新的統計貢獻，例如調整或發展方法，或證明適當應用新的或現有的統計方法來解決具有挑戰性的應用問題。論文描述了跨學科工作尤其受歡迎,那些給有趣的新穎應用現有的方法或提供新的見解的實際應用方法,和論文解釋創新分析通用的應用問題,但不一定是專注于一個特定的應用程序也有一個地方在c系列短通信也可能是適當的。不以真正的應用為動機的方法學論文是不能接受的;也不是只有簡單的數值說明或主要描述統計技術特性的模擬研究的論文。但是，如果描述統計計算發展的論文是由實際例子驅動的，則鼓勵它們。應該避免擴展代數處理。

The Journal of the Royal Statistical Society, Series C (Applied Statistics) is a journal of international repute for statisticians both inside and outside the academic world. The journal is concerned with papers which deal with novel solutions to real life statistical problems by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to them. At their heart therefore the papers in the journal are motivated by examples and statistical data of all kinds. The subject-matter covers the whole range of inter-disciplinary fields, e.g. applications in agriculture, genetics, industry, medicine and the physical sciences, and papers on design issues (e.g. in relation to experiments, surveys or observational studies).A deep understanding of statistical methodology is not necessary to appreciate the content. Although papers describing developments in statistical computing driven by practical examples are within its scope, the journal is not concerned with simply numerical illustrations or simulation studies. The emphasis of Series C is on case-studies of statistical analyses in practice.Aims and ScopeThe Journal of the Royal Statistical Society, Series C (Applied Statistics), promotes papers that are focused on statistical methods for real life problems. Applications should be central to papers, rather than illustrative, to motivate the work and to justify any methodological developments. All papers should feature an adequate description of a substantial application and a justification for any new theory. Case-studies may be particularly appropriate and should include some contextual details, though there should also be a novel statistical contribution, for instance by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to solve challenging applied problems. Papers describing interdisciplinary work are especially welcome, as are those that give interesting novel applications of existing methodology or provide new insights into the practical application of methods, and papers explaining innovative analysis of generic applied problems but not necessarily focused on a particular application also have a place in Series C. Short communications may also be appropriate. Methodological papers that are not motivated by a genuine application are not acceptable; nor are papers that include only brief numerical illustrations or that mainly describe simulation studies of properties of statistical techniques. However, papers describing developments in statistical computing are encouraged, provided that they are driven by practical examples. Extended algebraic treatment should be avoided.