Predicting effective customer lifetime: an application of survival analysis for telecommunication industry

DOI10.1080/03610926.2019.1570264OpenAlexW2912235407MaRDI QIDQ5077186

Gunjan Bansal, Adarsh Anand, Venkata S. S. Yadavalli

Publication date: 18 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2019.1570264

zbMATH Keywords

survival analysiscustomer lifetime valueeffective life time

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• ELYP

Cites Work

• Nonparametric survival analysis with time-dependent covariate effects: A penalized partial likelihood approach
• Nonparametric Estimation from Incomplete Observations
• Survival Analysis Methods for Personal Loan Data
• Unnamed Item

This page was built for publication: Predicting effective customer lifetime: an application of survival analysis for telecommunication industry