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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Portela, S. & Rui Menezes (2016). Estimating a Customer Churn model in the ADSL Industry in Portugal: The Use of a Semi-Markov Model. The Internacional Conference on Innovation, Management, and Logistics 2016 (ICIML).
Exportar Referência (IEEE) 
S. M. Portela and R. M. Menezes,  "Estimating a Customer Churn model in the ADSL Industry in Portugal: The Use of a Semi-Markov Model", in The Internacional Conf. on Innovation, Management, and Logistics 2016 (ICIML), Wellington, 2016
Exportar BibTeX 
@misc{portela2016_1732198129956,
	author = "Portela, S. and Rui Menezes",
	title = "Estimating a Customer Churn model in the ADSL Industry in Portugal: The Use of a Semi-Markov Model",
	year = "2016",
	howpublished = "Outro",
	url = ""
}
Exportar RIS 
TY  - CPAPER
TI  - Estimating a Customer Churn model in the ADSL Industry in Portugal: The Use of a Semi-Markov Model
T2  - The Internacional Conference on Innovation, Management, and Logistics 2016 (ICIML)
AU  - Portela, S.
AU  - Rui Menezes
PY  - 2016
CY  - Wellington
AB  - Customer churn has been stated as one of the main reasons of profitability losses in the telecommunications industry. As such, it seems critical to have an a priori knowledge about the risk of a given customer to churn at any moment, in order to take preventive measures to avoid the defection of potentially profitable customers. This study intends to develop a duration model of the residential customer churn in this industry in Portugal. We found empirical evidence that the variables that influence customer churn are the total number of overdue bills since ever, average monthly spending, average value of additional internet traffic, payment method, equipment renting, and the subscription of a flat plan. We also found that the probability of a customer to churn is neither constant over time nor across customers. 
ER  -