Simplicity, complexity, and modelling /
Several points of disagreement exist between different modelling traditions as to whether complex models are always better than simpler models, as to how to combine results from different models and how to propagate model uncertainty into forecasts. This book represents the result of collaboration b...
Saved in:
| Online Access: |
Full text (MCPHS users only) |
|---|---|
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Chichester, West Sussex, U.K. ; Hoboken, N.J. :
Wiley,
2011
|
| Series: | Statistics in practice.
|
| Subjects: | |
| Local Note: | ProQuest Ebook Central |
| Summary: | Several points of disagreement exist between different modelling traditions as to whether complex models are always better than simpler models, as to how to combine results from different models and how to propagate model uncertainty into forecasts. This book represents the result of collaboration between scientists from many disciplines to show how these conflicts can be resolved. Key Features: Introduces important concepts in modelling, outlining different traditions in the use of simple and complex modelling in statistics. Provides numerous case studies on complex modelling, such as clima. |
|---|---|
| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119951452 1119951453 9781119960966 1119960967 |
| Source of Description, Etc. Note: | Print version record. |
