Title: Numerical analysis for statisticians
First published: 1999
Description: Every advance in computer architecture and software tempts statisticians to tackle numerically harder problems. To do so intelligently requires a good working knowledge of numerical analysis. This book is intended to equip students to craft their own software and to understand the advantages and disadvantages of different numerical methods.

Numerical Analysis for Statisticians can serve as a graduate text for either a one- or a two-semester course surveying computational statistics. With a careful selection of topics and appropriate supplementation, it can even be used at the undergraduate level. Because many of the chapters are nearly self-contained, professional statisticians will also find the book useful as a reference.
Subjects: Numerical analysis, Mathematical statistics, Statistics, Qa297 .l34 1999, 519.4
LC classification: QA297 .L34 1999