Stochastic earned value analysis using Monte Carlo simulation and statistical learning techniques

Monte Carlo Simulation and Statistical Analysis of Genetic Information Coding

The rules that specify how the information contained in DNA codes amino acids, is called “the genetic code”. Using a simplified version of the Penna nodel, we are using computer simulations to investigate the importance of the genetic code and the number of amino acids in Nature on population dynamics. We find that the genetic code is not a random pairing of codons to amino acids and the number...

Stochastic Simulation,monte Carlo Methods and Applications1

Stochastic Simulation and Monte Carlo Methods

In these lecture notes we will work through three different computational problems from different application areas. We will simulate the irregular motion of a particle in an environment of smaller solvent molecules, we will study a biochemical control network and we will compute a numerical approximation to a high dimensional integral. Even though these three problems are different, and the wa...

Soccer Championship Analysis Using Monte Carlo Simulation

Sports had always fascinated humanity. In this context, soccer was taken as a study source. The objective of this paper is to formulate a simulation model to generate estimators for necessary scores to achieve certain places at the final classification ranking of the Brazilian National Soccer Championship. The main data used are the rules of the championship, the number of competitors and the p...

Sensitivity Analysis in Monte Carlo Simulation of Stochastic Activity Networks

Stochastic activity networks (SANs) such as those arising in Project Evaluation Review Technique (PERT) and Critical Path Method (CPM) are an important classical set of models in operations research. We focus on sensitivity analysis for stochastic activity networks when Monte Carlo simulation is employed. After a brief aside reminiscing on Saul’s influence on the author’s career and on the simu...