| 混合回归模型在百货商店市场细分中的应用 |
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| 引用本文： | 谢赞,王高,李飞. 混合回归模型在百货商店市场细分中的应用[J]. 数理统计与管理, 2009, 28(2): 225-231 |
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| 作者姓名： | 谢赞 王高 李飞 |
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| 作者单位： | 清华大学经济管理学院,北京,100084;清华大学经济管理学院,北京,100084;清华大学经济管理学院,北京,100084 |
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| 摘 要： | 基于国内20家大型百货商店消费者满意调查数据,本文采用混合回归模型,对百货商店的消费者进行市场细分研究,发现百货商店的消费者可以分为6个差异化的细分市场.同时对每个细分市场的需求特征及市场规模进行了描述,并探讨了消费者人口统计变量与所属细分市场的关系.
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| 关 键 词： | 混合回归模型 百货商店 市场细分 |
Application of Mixture Regression Model in Market Segmentation of Department Stores |
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| XIE Zan,WANG Gao,LI Fei. Application of Mixture Regression Model in Market Segmentation of Department Stores[J]. Application of Statistics and Management, 2009, 28(2): 225-231 |
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| Authors: | XIE Zan WANG Gao LI Fei |
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| Abstract: | Based on the consumer satisfaction survey data of 20 large-scale department stores in China, this article applies the mixture regression model to study market segmentation of department stores, which finds that there exist 6 different consumer segments.Meanwhile,this article further describes the demand characteristics and the size of each market segment,and also explores the relationship between demographic variables and the market segments. |
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| Keywords: | mixture regression model department store market segmentation |
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