Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/137743
Title: HAZARDS REGRESSION FOR FREEMIUM PRODUCTS AND SERVICES: A COMPETING RISKS APPROACH
Authors: CHEN DACHENG
Keywords: Competing risks, change point, cumulative incidence function, Fine-Gray model, hazards regression, online games
Issue Date: 12-Jul-2017
Source: CHEN DACHENG (2017-07-12). HAZARDS REGRESSION FOR FREEMIUM PRODUCTS AND SERVICES: A COMPETING RISKS APPROACH. ScholarBank@NUS Repository.
Abstract: 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.
URI: http://scholarbank.nus.edu.sg/handle/10635/137743
Appears in Collections:Ph.D Theses (Open)

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