Generalized Linear Models for Insurance Data: Continuous responses

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Multivariate Frequency-Severity Regression Models in Insurance (2016, unknown): “, [9].”
Robust statistical modeling using the Birnbaum-Saunders- t distribution applied to insurance (2012, methodology): “Since the gamma positively skewed distribution has been earlier considered for modeling these data (see [20], Chapter 1), we propose it and BS and BS-t distributions for the present application.”
Shrinkage estimators for gamma regression model (2018, background): “In studying several real data problems, such as health-care economics, automobile insurance claims, and medical science, gamma regression model (GRM) is a widely applied model (De Jong and Heller, 2008; Dunder et al., 2018; Malehi et al., 2015).”
Developing a ridge estimator for the gamma regression model (2018, unknown): “In classical linear regression models, the following relationship is usually adopted y 1⁄4 Xβþ ε; (1)”