Generalized Linear Model for Compound Model with Dependency between The Primary and The Secondary Random Variables
Generalized linear models may be used to determine an insurance pure premium, especially in a non-life insurance business. If a compound model is used to model an aggregate loss, then usually it is assumed that the number of claims (claims frequency) and the amount of claims (claims severity) are...
Saved in:
Main Author: | Ikhramul Fitra, Ridho |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/36139 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Automatic variable selection for longitudinal generalized linear models
by: Li, Gaorong, et al.
Published: (2013) -
Variable selection and model averaging in semiparametric overdispersed generalized linear models
by: Cottet, R., et al.
Published: (2014) -
Bayesian projection approaches to variable selection in generalized linear models
by: Nott, D.J., et al.
Published: (2014) -
PREDICTING HEALTH INSURANCE PREMIUM USING GENERALIZED LINEAR MODEL AND RANDOM FOREST
by: Hadinata Putra, Jason -
Concentration Inequalities for Dependent Random Variables
by: PAULIN DANIEL
Published: (2014)