A wager is a one time bet, staking money on one among a collection of alternatives
having uncertain reward. Wagers represent a common class of engineering
decision, where “bets” are placed on the design, deployment, and/or operation of
technology. Often such wagers are characterized by alternatives having value that
evolves according to some future cash flow. Here, the values of specific alternatives
are derived from a cash flow modeled as a stochastic marked point process. A principal
difficulty with these engineering wagers is that the probability laws governing
the dynamics of random cash flow typically are not (completely) available; hence,
separating the gambler’s preference among wager alternatives is quite difficult.
In this dissertation, we investigate a computational approach for separating preferences
among alternatives of a wager where the alternatives have values that evolve
according to a marked point processes. We are particularly concerned with separating
a gambler’s preferences when the probability laws on the available alternatives are
not completely specified.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2757 |
| Date | 15 May 2009 |
| Creators | Park, Jee Hyuk |
| Contributors | Wortman, Martin A. |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | electronic, application/pdf, born digital |
Page generated in 0.0019 seconds