Computational statistics /
This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field: Optimization ; Integration and Simulation ; Bootstrapping ; Density Estimation and Smoothing. Within these sections, eac...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, N.J. :
Wiley,
2013.
|
| Edition: | Second edition |
| Series: | Wiley series in computational statistics.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field: Optimization ; Integration and Simulation ; Bootstrapping ; Density Estimation and Smoothing. Within these sections, each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book website now includes comprehensive R code for the entire book. There are extensive exercises, real examples, and helpful insights about how to use the methods in practice.--Publisher website. |
|---|---|
| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0470533315 9780470533314 9781299190313 1299190316 9781118555484 1118555481 9781118555286 1118555287 9781118555552 1118555554 |