||0 of 1 people found the following review helpful.| One of the best|By Customer|This book is definitely one of the best if you want to gain an in-depth understanding of Statistical Computing/Monte Carlo method. The authors are among the most famous authorities in this area(actually much of the material introduced comes from their own papers). Some mathematical/statistical sophistication is needed to fully understand the materi|||From the reviews: | |"The adequate statistical simulation of random quantities is one of the challenges of this century. Therefore, sampling-based computational methods have become a fundamental part of the numerical toolset of both practitioners and researc
Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. The reach of the ideas is illustrated by discussing a wide range of applications and the models ...
[PDF.tf56] Stochastic Simulation: Algorithms and Analysis: 57 (Stochastic Modelling and Applied Probability) Rating: 4.80 (680 Votes)
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