JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS SCISCIE

中文简介

英国皇家统计学会期刊C辑(应用统计学)是一份享誉国际的期刊，为国内外的统计学家所著。该杂志关注的是通过调整或发展方法，或通过展示新的或现有的统计方法的适当应用来处理现实生活中统计问题的新的解决办法的论文。因此，在他们的核心期刊上的论文是由各种各样的例子和统计数据激励的。本课程内容涵盖所有跨学科领域，例如农业、遗传学、工业、医学和物理科学的应用，以及关于设计问题的论文(例如与实验、调查或观察性研究有关的论文)。对统计方法的深刻理解并不是欣赏其内容的必要条件。虽然由实际例子推动的统计计算发展的论文在其范围内，但该杂志不关心简单的数值插图或模拟研究。C系列的重点是实际统计分析的个案研究。目标和范围英国皇家统计学会的期刊C系列(应用统计学)促进了针对现实生活问题的统计方法的论文。应用应该是论文的中心，而不是说明性的，以激励工作和证明任何方法的发展。所有的论文都应该对实质性的应用进行充分的描述，并为任何新理论提供理由。个案研究可能特别适当，并应包括一些背景细节，但也应作出新的统计贡献，例如调整或发展方法，或证明适当应用新的或现有的统计方法来解决具有挑战性的应用问题。论文描述了跨学科工作尤其受欢迎,那些给有趣的新颖应用现有的方法或提供新的见解的实际应用方法,和论文解释创新分析通用的应用问题,但不一定是专注于一个特定的应用程序也有一个地方在c系列短通信也可能是适当的。不以真正的应用为动机的方法学论文是不能接受的;也不是只有简单的数值说明或主要描述统计技术特性的模拟研究的论文。但是，如果描述统计计算发展的论文是由实际例子驱动的，则鼓励它们。应该避免扩展代数处理。

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英文简介

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.