This book presents topics in numerical analysis for statisticians. It would be suitable as a text for a graduate course in statistical computing. The focus is on principles of numerical analysis intended to equip students to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Few good people are willing to write books in the area of statistical computing because it changes so fast. The last "new" book of any significance was published in 1988. This book will be very popular both as a reference and as a graduate text for a course on statistical computing.
This book will be an important reference for all statisticians interested in computing and software development.