The identification of the AIDS incubation time distribution, together with its parameters, is a vital component of any mathematical model designed to portray cases. A dataset on Transfusion-Associated AIDS cases in the USA is available and can be utilised in this identification process. However, the task of achieving a best fit using either parametric or non-parametric statistical methods is hampered because, in particular, the data are right-censored and this leads to an extremely complex maximum, likelihood estimation procedure. By employing an appropriate system dynamics software tool an optimising simulation approach to the fitting process is available as an alternative. This enables the resolution of a number of complications which hamper the maximum likelihood approach.

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Date created

• 1991

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

Part of

d1cfc0fcedb4f6334f34d1ca11dcf292

Scope and Contents

Part of

5d7e83a7ca6c4cd9ab0ccc8a805a7aa7

Scope and Contents

Part of

23d738ba88f8333bc39725f9cb5bd0b8

Scope and Contents

Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives