Generalized linear models are starting to gain popularity among actuaries in most countries for target marketing analysis. In order to better understand how these models work, a project was commissioned regarding medical providers and their reimbursement ratios. By using one-way analysis, several factors were selected to model the response variable and the factors' significance was determined by using an algorithm in the statistical software, SAS. Several general linear models were set up and tested to fit the reimbursement ratio. By calculating and analyzing each correlation, we were able to find a model that matched the reimbursement ratio with an 83 percent correlation.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Bursey, Blaine Roderick

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042617-180415

Advisor

• Abraham, Jon P.
• Posterro, Barry John

Year

• 2017

Date created

• 2017-04-26

Resource type

• Major Qualifying Project

Major

• Mathematical Sciences

Rights statement

• In Copyright