TY - CHAP A1 - Paulo Roberto Guimarães Couto A2 - Jailton Carreteiro Damasceno A3 - Sérgio Pinheiro de Oliveira ED1 - Victor (Wai Kin) Chan Y1 - 2013-03-06 PY - 2013 T1 - Monte Carlo Simulations Applied to Uncertainty in Measurement N2 - The purpose of this book is to introduce researchers and practitioners to recent advances and applications of Monte Carlo Simulation (MCS). Random sampling is the key of the MCS technique. The 11 chapters of this book collectively illustrates how such a sampling technique is exploited to solve difficult problems or analyze complex systems in various engineering and science domains. Issues related to the use of MCS including goodness-of-fit, uncertainty evaluation, variance reduction, optimization, and statistical estimation are discussed and examples of solutions are given. Novel applications of MCS are demonstrated in financial systems modeling, estimation of transition behavior of organic molecules, chemical reaction, particle diffusion, kinetic simulation of biophysics and biological data, and healthcare practices. To enlarge the accessibility of this book, both field-specific background materials and field-specific usages of MCS are introduced in most chapters. The aim of this book is to unify knowledge of MCS from different fields to facilitate research and new applications of MCS. BT - Theory and Applications of Monte Carlo Simulations SP - Ch. 2 UR - https://doi.org/10.5772/53014 DO - 10.5772/53014 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-05-08 ER -