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Study of the Simulation of the Monty Hall Problem

Mazen Alrahili. Published in Information Sciences

Study of the Simulation of the Monty Hall Problem
International Journal of Applied Information Systems
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Series: Volume 11 Number 7
Authors:Mazen Alrahili
10.5120/ijais2016451626
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  1. 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

  1. Bowman, M., Debray, S. K., and Peterson, L. L. 1993. Reasoning about naming systems.
  2. Ding, W., and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. The university of Maryland at College Park.
  3. 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
  4. Tavel, P. 2007 Modeling, and Simulation Design. AK Peters Ltd.
  5. 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.
  6. Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003), 1289-1305.
  7. Brown, L. D., Hua, H., and Gao, C. 2003. A widget framework for augmented interaction in SCAPE.
  8. 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.
  9. Spector, A. Z. 1989. Achieving application requirements. In Distributed Systems, S. Mullender.
  10. Rosenhouse, J. (2009) The Monty Hall Problem. Oxford University Press, New York.
  11. 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.
  12. 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.
  13. 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