Statistical Inference - Theories and Applications

统计推断 - 理论与应用

• 批准号: 159996-2012
• 负责人: Wong, Augustine
• 金额: $ 0.87万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=545766
• 关键词: Statistical; Inference; Theories; Applications

The research proposed here is to develop the theory of inference to various settings by investigating statistical methods in detail, both mathematically and in application. The mathematical analysis provides insight into the process of inference, suggesting what information is required, why the information is important, and how it can be extracted. Theoretically, the proposed methodologies improved the accuracy of the exists methods, and, hence, better decisions can be made. The statistical interpretation of the mathematics can give new ways for scientists to analyse their data. This research program emphasizes the development and dissemination of new theories, new statistical methods, and the practical applications of the methods.

这里提出的研究是通过详细调查统计方法，在数学上和应用中，将推理理论发展到各种环境中。 数学分析提供了对推理过程的洞察，表明需要什么信息，为什么信息很重要，以及如何提取信息。 从理论上讲，所提出的方法提高了现有方法的准确性，因此，可以做出更好的决策。 数学的统计解释可以为科学家分析数据提供新的方法。 该研究计划强调新理论，新统计方法的开发和传播以及方法的实际应用。