Masters Theses
Keywords and Phrases
Actuarial; Claim; Estimator; Insurance
Abstract
"In this thesis, we presented in detail different aspects of Verrall's chain ladder method and their advantages and disadvantages. Insurance companies must ensure there are enough reserves to cover future claims. To that end, it is useful to estimate mean expected losses. The chain ladder technique under a general linear model is the most widely used method for such estimation in property and casualty insurance. Verrall's chain ladder technique develops estimators for loss development ratios, mean expected ultimate claims, Bayesian premiums, and Bühlmann credibility premiums. The chain ladder technique can be used to estimate loss development in cases where data has been collected from a population but the statistician has no information on which to base a parametric prior distribution (empirical Bayesian estimation)."--Abstract, page iii.
Advisor(s)
Adekpedjou, Akim
Committee Member(s)
Gelles, Gregory M.
Samaranayake, V. A.
Department(s)
Mathematics and Statistics
Degree Name
M.S. in Applied Mathematics
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2015
Pagination
viii, 48 pages
Note about bibliography
Includes bibliographical references (pages 42-45).
Rights
© 2015 Netanya Lee Martin, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Risk management -- Mathematical modelsInsurance claims -- Mathematical modelsRunoff.
Thesis Number
T 10684
Electronic OCLC #
913486834
Recommended Citation
Martin, Netanya Lee, "Application of loglinear models to claims triangle runoff data" (2015). Masters Theses. 7406.
https://scholarsmine.mst.edu/masters_theses/7406