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Linear Mixed Models in Actuarial Science by ferventurato is a document available to read on EtoBox.
What is Linear Mixed Models in Actuarial Science about?
This document discusses linear mixed models (LMM) and their applications in actuarial science, particularly in predictive modeling using panel data. It covers model assumptions, specifications, estimation techniques, and provides examples using the R lme4 package. The document emphasizes the advantages of mixed models in handling clustered data and their relevance in actuarial practices such as credibility theory and ratemaking.
- Author
- ferventurato
- Language
- EN