Exact Statistical Methods for Data Analysis

provide highly technical, but readable, reviews on nonlinear optimization and on eigenvalues and singular value decomposition in the context of linear estimation. This book contains considerable information on the concept of statistical learning theory and various applications that relate to characterizing the dependencies in collected data. However, some may Ž nd its presentation difŽ cult to follow, partly because of the complex issues being presented, and as a result will need to review the material carefully several times to really understand what is being presented. The authors seem to be aware of this because they admit in the book’s introduction that this book “is not an easy read.”