Bayesian smoothing and regression for longitudinal, spatial and event history data /
Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry development economics, medicine and marketing.
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
| Published: |
Oxford ; New York :
Oxford University Press,
2011.
|
| Series: | Oxford statistical science series ;
36. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry development economics, medicine and marketing. |
|---|---|
| Physical Description: | 1 online resource (xviii, 521 pages) : illustrations. |
| Bibliography: | Includes bibliographical references (pages 495-518) and index. |
| ISBN: | 9780191728501 0191728500 |