Numerical analysis for statisticians
By: Kenneth Lange.
Series: Statistics and computing
Publisher: Springer
Published: 1999
Place of publication: New York
Language: eng
Number of pages: 356
Subjects: Numerical analysis; Mathematical statistics
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.
Notes: Includes bibliographical references and index.