W3MCSim: an online and reconfigurable Monte Carlo simulator for interactive probabilistic/statistical modeling

Area of Science:

• Computational Science
• Statistical Modeling
• Scientific Simulation Software

Background:

• Monte Carlo simulation is a powerful technique for probabilistic modeling.
• Efficient deployment and accessibility of simulation tools are crucial for scientific education and research.
• Existing tools may lack user-friendliness or broad applicability.

Purpose of the Study:

• To develop and present an Internet-based Monte Carlo simulator (W3MCSim).
• To demonstrate an efficient software deployment model using web technologies.
• To showcase the simulator's usability and versatility through diverse examples.

Main Methods:

• Implementation of W3MCSim as an Internet software tool.
• Leveraging Microsoft web technologies (Internet Explorer, COM, JScript) for web application architecture.
• Development of tutorial examples including dice sum simulation, Buffon's needle problem, and experimental design testing.

Main Results:

• W3MCSim is successfully deployed as an accessible web application.
• The chosen architecture ensures efficient software deployment and user interaction.
• Tutorial examples confirm the simulator's usability and versatility for various probabilistic modeling tasks.

Conclusions:

• W3MCSim provides an efficient and versatile platform for Monte Carlo simulations.
• The web application model facilitates easy access for students, educators, and scientists.
• The simulator's components are adaptable for reconfiguration into other applications.