@article{Zaidan2023,
abstract = {The beta distribution model has been applied in many different research environments due to the flexibility of its two parameters. In this research, we fit this probabilistic model for mod- eling a recurring problem confronted for many businesses called the customer churn rate (or churn rate). It represents the proportion of customers who cancel their subscriptions after a given time. We use data from a Brazilian media service company to develop the modeling. The parameters are estimated by the maximum likelihood estimation (MLE) technique. Finally, we perform the MLE technique by considering two programming languages; Ox and R.},
author = {Zaidan, Henrique Pinto dos Santos},
doi = {10.51359/2965-4661.2023.259280},
file = {:G\:/Meu Drive/Drive (UFPE)/Administrativo/Editorial/Socioeconomic Analytics/Issue 1 (2023)/4. Zaidan/Zaidan (2023).pdf:pdf},
issn = {2965-4661},
journal = {Socioeconomic Analytics},
keywords = {beta distribution,costumer churn rate,maximum likelihood estima-},
month = {aug},
number = {1},
pages = {78--91},
title = {{Application of the Beta Distribution Model to the Customer Churn Rate}},
url = {https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/259280},
volume = {1},
year = {2023}
}