Predicting Demand for Residential Solar Heating: An Attribute Method
提出两种模型，在缺乏销售历史数据的情况下，利用消费者对产品特性的反应来预测加拿大住宅太阳能供暖的长期需求，并展示了如何利用调查数据获得具体数值估计。
This paper presents two models which allow long run demand for a new product to be estimated prior to any significant sales history. The specific product studied is residential solar heating in Canada. Both models are based on the concept that consumers react in their purchasing decisions to the inherent package of characteristics in a commodity. The use of survey information to enable specific numerical estimates to be made is exemplified. Directions for future research to improve the usefulness of such models are suggested.