This book promises to be a very good comprehensive introduction to copula theory and addresses many practical aspects of copula. There are useful sections on bivariate (2-dimensional) and mulit-variate copulas including elliptical (Normal, Student t) and archimedian copula. There is a fair section on fitting copula parameters to data and a good section on Monte Carlo simulation of fitted copula.
However, there are numerous errors that I've come across, which make learning from this book very difficult or impossible. In fact, every section I've looked at in detail has mistakes, not typos, in the equations. (I just dropped my rating to 2 stars because of this!) The multivariate Frechet minimum boundary is written incorrectly in multiple locations. Whereas an example demonstrates that this bound is not a true copula, the following theorem says that it is a copula. The reference for the theorem, Sklar (1999), actually reads "Personal communication" in the bibliography! This reference is only slightly better than "From a dream..."
Unfortunate notation confuses the reader by repeating the copula density notation for the "conditional distribution" in the simulation section. This section is also riddled with mistakes and unexplained notation. Thankfully, enough examples exist that some use can be make of portions of the text by the practitioner.