协变量
事件(粒子物理)
回归分析
产品(数学)
计算机科学
计量经济学
营销
数学
业务
机器学习
几何学
量子力学
物理
作者
Dacheng Chen,Jialiang Li,Juin-Kuan Chong
标识
DOI:10.1080/00949655.2017.1292275
摘要
We propose a competing risks approach to analyse customer behaviours in freemium products and services. The event of interest is when a customer starts to pay for additional features or functionalities. The observation of such an event may be preempted by an event where the customer quits using the product before paying and consuming the additional features or functionalities. One such freemium service is the online game category. The Fine-Gray regression model was implemented for an online game player activity data to study how covariates affect the paying hazard. Some covariates are hypothesized to have different discrete effects at multiple change points. We extend the model to allow for possible change points in the analysis.
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