… general issues and concerns in statistical computing. The goal in this section is to review
important aspects of numerical … This is the issue we address here, bridging the knowledge gap …

… some of the more interesting and promising areas of statistical computation, and to illustrate
the breadth that is possible in the area. Statistical computing is truly an area which is on the …

… Numerical Analysis for Statisticians also is recommended for more senior … of statistical
computing. … an essential book to hand to graduate students as soon as they enter a statistics …

… while writing this book, I looked in Statistical Computing to see what Bill Kennedy and I said
… The other kind of course in statistical computing is “numerical methods in statistics”. Part II of …

… This book grew out of notes for my Statistical Computing course that I have been teaching
for the past 20 years at North Carolina State University. The goal of this course is to prepare …

… branches of numerical analysis which are needed to solve numerical problems in applied
statistics. Hence, every researcher and every student of applied statistics and econometrics …

… The foundations of optimization and numerical integration … components of other statistical
computing algorithms. Some … the development of new statistical computing techniques, and …

… a detailed rendering of numerical issues that any applied statistical researcher should be
aware of when analyzing and interpreting results from computer-derived statistical analysis of a …

… understanding the computer simulation methodology of classical statistical mechanics. …
numerical procedures. The sequence of computer instructions which specify a chosen numerical …

… A survey of componentwise perturbation theory in numerical linear algebra. In W.
Gautschi, editor, Mathematics of Computation 1943– 1993: A Half Century of Computational …