Reviews and Awards
"Working statisticians, particularly chemometricians, will find it useful for summarizing and clarifying the choices of models and procedures available to them for inference problems that they often encounter and for which there are few alternative references. Academic statisticians will want to use this monograph as supplementary reading for graduate-level courses in regression and as a quick entry for finding open questions requiring research." -- Technometrics
"Several numerical examples with numerous figures are helpful in understanding the motivation and the theory developed here. A bibliography of selected references and appendices concerning distribution theory in multivariate analysis are also provided. The book deals with various topics which are not discussed in detail in the literature on regression models. Furthermore, the emphasis is on calibration and the Bayesian approach. Such features of the book make it a very useful reference." -- Mathematical Reviews
"Brown provides a succinct but very clear overview of 'regularized' regression. . .a valuable work for researchers and statisticians. . ." --Choice
"This book deals with sufficiently sophisticated theory and applications of regression and calibration with an extensive emphasis on controlled calibration. It is lucidly written and provides a wealth of information in the course of a mere 169 pages. The book will also be found very useful as a reference text by practitioners."--SIAM Review
"[An] outstanding job. . .in describing approaches for building less than full rank models. . .I recommend this book highly."--Journal of Quality Technology