Award Date

5-1-2014

Degree Type

Thesis

Degree Name

Master of Science in Hotel Administration

Department

Hotel Administration

First Committee Member

Ashok Singh

Second Committee Member

Bo Bernhard

Third Committee Member

Anthony Lucas

Fourth Committee Member

Rohan Dalpatadu

Number of Pages

48

Abstract

With growing competition for casino floor space, the Table Games department is under increased pressure to improve revenues. Current systems in the department rely upon a supervisor's intuitive knowledge about business trends hourly to respond to business levels. By using Bayesian analysis, it is possible to develop a functional revenue management system for making optimal business decisions in the Table Game Departments.

Keywords

Bayesian statistical decision theory; Casinos; Gambling—Management; Revenue management; Table games

Disciplines

Business | Business Administration, Management, and Operations | Statistics and Probability

Language

English


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