Statistical methods for time series of counts with long-range dependence arising from health care settings

卫生保健机构产生的具有长期依赖性的计数时间序列的统计方法

• 批准号: RGPIN-2017-04992
• 负责人: hussein, abdulkadir
• 金额: $ 1.46万
• 依托单位: University of Windsor
• 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=635912
• 关键词: Statistical; methods; time; series; counts

This proposal is an initiative to provide statistical models and inferential tools to an important type of data that arises in many fields of applications. Specifically, this proposal is intended to deal with the statistical analysis of data sets in which the outcome of interest is a long series of temporally and spatially correlated counts with a complex feature known as Long-Range Dependence (LRD) or Long-Memory behavior.

该提案旨在为许多应用领域中出现的重要类型的数据提供统计模型和推理工具。具体来说，该提案旨在处理数据集的统计分析，其中感兴趣的结果是一系列时间和空间相关的计数，具有称为远程依赖（LRD）或长记忆行为的复杂特征。