Optimal and Robust Designs for Regression

最优且稳健的回归设计

• 批准号: RGPIN-2015-03856
• 负责人: Xu, Xiaojian
• 金额: $ 0.8万
• 依托单位: Brock 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=635801
• 关键词: Optimal; Robust; Designs; Regression

The main objective of this research program is to understand how the nature of designs of experiments affects the results of estimation, prediction, and extrapolation in regression for various models assumed with or most likely without accuracy and to develop theory and methods of constructing regression designs that provide efficient results with optimized balance between precision in estimates and protection from possible model departures.

本研究计划的主要目标是了解实验设计的性质如何影响各种模型的估计，预测和回归外推的结果，假设或最有可能没有准确性，并开发理论和方法，构建回归设计，提供有效的结果，在估计精度和保护之间的优化平衡可能的模型偏离。