Modelling Consumer Preferences for Roses

模拟消费者对玫瑰的偏好

• 批准号: 532177-2018
• 负责人: McNicholas, Paul
• 金额: $ 1.82万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=659409
• 关键词: Modelling; Consumer; Preferences; Roses

The Canadian Nursery Landscape Association (CNLA) in partnership with Vineland Research and Innovation**Centre (Vineland) are breeding Canadian Hardy Roses with a plan to release a new variety every two years.**CNLA requires consumer insights to help guide the selection of rose species for cross-breeding and, ultimately,**to inform decision-making regarding which roses nursery growers should carry in their catalogues both from**the current breeding program and from outside sources, to better meet market needs. The proposed research**will engage researchers from McMaster University to develop computational statistics techniques to help better**understand consumer preferences for roses and, ultimately, to extract greater value from these studies. The**novel computational statistics techniques that will be developed will uncover previously unnoticed patterns and**consumer subgroups in the rose market using latent variable models. Furthermore, the findings can also be**applied to a diverse range of other consumer science applications where categorical data is used frequently

加拿大苗圃景观协会（CNLA）与葡萄园研究和创新中心（葡萄园）合作，正在培育加拿大哈代玫瑰，计划每两年发布一个新品种。CNLA需要消费者的见解，以帮助指导杂交育种的玫瑰品种的选择，并最终，** 告知决策有关玫瑰苗圃种植者应该在他们的目录进行从 ** 目前的育种计划和外部来源，以更好地满足市场需求。拟议的研究 ** 将聘请麦克马斯特大学的研究人员开发计算统计技术，以帮助更好地了解消费者对玫瑰的偏好，并最终从这些研究中提取更大的价值。新的计算统计技术将被开发出来，它将利用潜在变量模型揭示以前未被注意到的模式和玫瑰市场中的消费者亚群。此外，这些发现也可以应用于经常使用分类数据的其他消费科学应用中