Simplicity, complexity, and modelling

Simplicity, complexity, and modelling / edited by Mike Christie [and others].

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...

Full description

Saved in:
Bibliographic Details
Other Authors: Christie, Mike
Format: eBook
Language:English
Published: Chichester, West Sussex, U.K. ; Hoboken, N.J. : Wiley, ©2011.
Series:Statistics in practice.
Subjects:
Simulation methods.
simulation methods.
TECHNOLOGY & ENGINEERING > General.
Simulation methods
Online Access:Click for online access
Description
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.

Similar Items