Nature

Maximum Likelihood Estimation Techniques in Regression Models

Maximum likelihood estimation (MLE) underpins a wide array of regression models by selecting parameter values that maximise the probability of observed data under assumed distributions. In classical ...
Nature

A new estimator for the multicollinear Poisson regression model: simulation and application

The Poisson regression model (PRM) is often adopted in modelling count data. PRM is employed to model the relationship between the response variable and one or more regressors. The response variable ...
Risk

A weighted likelihood estimator for operational risk data: improving the accuracy of capital estimates by robustifying maximum likelihood estimates

Severity parameters play a crucial role in the operational risk (OpRisk) capital estimates for Advanced Measurement Approach banks. When relying on maximum likelihood estimates (MLEs), nonrobustness ...
Risk

A weighted likelihood estimator for operational risk data: improving the accuracy of capital estimates by robustifying maximum likelihood estimates

Severity parameters play a crucial role in the operational risk (OpRisk) capital estimates for Advanced Measurement Approach banks. When relying on maximum likelihood estimates (MLEs), nonrobustness ...