Empirical likelihood and other nonparametric and semiparametric statistical methods for complex surveys, reliability engineering, and environmental studies

用于复杂调查、可靠性工程和环境研究的经验可能性和其他非参数和半参数统计方法

• 批准号: RGPIN-2017-06267
• 负责人: Cai, Song
• 金额: $ 1.38万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635830
• 关键词: Empirical; likelihood; other; nonparametric; semiparametric

My proposed research focuses on developing fundamental theory and methods of nonparametric and semiparametric inference for survey sampling, reliability engineering, and medical studies. It also addresses modern applied modeling and computational problems in environmental studies, network analysis and big data. It tackles theoretical and computational challenges that arise from these research fields, and aims at providing theoretically sound and practically useful methods. We expect our research outcomes, including novel statistical theory, methods and software, to receive wide attentions from researchers and to be directly employed by scientists and knowledge users for solving practical problems.

我提出的研究重点是开发用于调查抽样、可靠性工程和医学研究的非参数和半参数推理的基础理论和方法。它还解决了环境研究、网络分析和大数据中的现代应用建模和计算问题。它解决了这些研究领域中出现的理论和计算挑战，旨在提供理论上合理且实用的方法。我们期望我们的研究成果，包括新颖的统计理论、方法和软件，能够受到研究人员的广泛关注，并直接被科学家和知识使用者用来解决实际问题。