Generalized linear models and their applications to actuarial modeling : [an honors thesis (HONRS 499)]

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dc.contributor.advisor Dean, Curtis G. en_US
dc.contributor.author Smith, Jimmy en_US
dc.date.accessioned 2011-06-06T19:24:30Z
dc.date.available 2011-06-06T19:24:30Z
dc.date.created 2004 en_US
dc.date.issued 2004
dc.identifier.other A-288 en_US
dc.identifier.uri http://cardinalscholar.bsu.edu/handle/handle/192597
dc.description.abstract This paper will discuss the basic principles underlying the theory of generalized linear models and the advantages of using generalized linear models over more traditional methods of actuarial modeling. Generalized linear models offer the flexibility needed to model real world data that does not conform to the strict assumptions underlying these traditional methods. The second part of this paper will illustrate how generalized linear models can be directly applied to current areas of actuarial practice, and the advantages that are to be gained.
dc.description.sponsorship Honors College
dc.format.extent 38 leaves : ill. ; 28 cm. en_US
dc.source Virtual Press en_US
dc.subject.lcsh Business mathematics. en_US
dc.title Generalized linear models and their applications to actuarial modeling : [an honors thesis (HONRS 499)] en_US
dc.type Undergraduate senior honors thesis.
dc.description.notes "May 2002."
dc.description.degree Thesis (B.?.)
dc.identifier.cardcat-url http://liblink.bsu.edu/catkey/1290033 en_US


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  • Undergraduate Honors Theses [5614]
    Honors theses submitted to the Honors College by Ball State University undergraduate students in partial fulfillment of degree requirements.

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