Study of the Simulation of the Monty Hall Problem
Mazen Alrahili. Study of the Simulation of the Monty Hall Problem. International Journal of Applied Information Systems 11(7):41-45, December 2016. URL, DOI BibTeX
@article{10.5120/ijais2016451626, author = "Mazen Alrahili", title = "Study of the Simulation of the Monty Hall Problem", journal = "International Journal of Applied Information Systems", issue_date = "December 2016", volume = 11, number = 7, month = "Dec", year = 2016, issn = "2249-0868", pages = "41-45", numpages = 5, url = "http://www.ijais.org/archives/volume11/number7/951-2016451626", doi = "10.5120/ijais2016451626", publisher = "Foundation of Computer Science (FCS), NY, USA", address = "New York, USA" }
Abstract
The Monty Hall problem is a contingent likelihood case in which one of three doors has a profitable prize and other two doors imagine useless "goats." The amusement elements are a reasonable choice between stay or switch given the requirements of the diversion. This paper presents simulation results about for the original Monty Hall and a variation of two-player Monty Hall problem. The simulation results about, in view of the investigation of effective frequencies of either alternative, are helpful in illuminating the outlandish way of the issue.
Reference
- Bowman, M., Debray, S. K., and Peterson, L. L. 1993. Reasoning about naming systems.
- Ding, W., and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. The university of Maryland at College Park.
- Fröhlich, B., and Plate, J. 2000. The cubic mouse: a new device for three-dimensional input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Tavel, P. 2007 Modeling, and Simulation Design. AK Peters Ltd.
- Sannella, M. J. 1994 Constraint Satisfaction and Debugging for Interactive User Interfaces. Doctoral Thesis. UMI Order Number: UMI Order No. GAX9509398., The university of Washington.
- Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003), 1289-1305.
- Brown, L. D., Hua, H., and Gao, C. 2003. A widget framework for augmented interaction in SCAPE.
- Y.T. Yu, M.F. Lau, "A comparison of MC/DC, MUMCUT and several other coverage criteria for logical decisions," Journal of Systems and Software, 2005, in press.
- Spector, A. Z. 1989. Achieving application requirements. In Distributed Systems, S. Mullender.
- Rosenhouse, J. (2009) The Monty Hall Problem. Oxford University Press, New York.
- Wang, J. L., Tran, T. and Abebe, F. (2016) Maximum Entropy and Bayesian Inference for the Monty Hall Problem.Journal of Applied Mathematics and Physics, 4, 1222-1230. doi: 10.4236/jamp.2016.47127.
- Wang, J. L., Tran, T., Abebe, F. and Wang, X.-Q. (2016) Rational Decisions in Bayesian Games, Proceedings of Dynamic Systems and Applications, 7, 339-341.
- Mazen Alrahili. Simulation of the Monty Hall Problem. International Journal of Computer Applications 152(6): 16-19, October 2016.
Keywords
Monty Hall problem, Simulation, Conditional Probability