Numerical analysis for statisticians

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.

שנה

1999

שפה

English

הוצאה

Springer London, Limited

מהדורות

4

ISBN

9780387227245

מקור הנתונים: Wikidata