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...

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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:
Online Access:Click for online access

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245 0 0 |a Simplicity, complexity, and modelling /  |c edited by Mike Christie [and others]. 
260 |a Chichester, West Sussex, U.K. ;  |a Hoboken, N.J. :  |b Wiley,  |c ©2011. 
300 |a 1 online resource. 
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338 |a online resource  |b cr  |2 rdacarrier 
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490 1 |a Statistics in practice 
504 |a Includes bibliographical references and index. 
520 |a 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. 
505 0 |a Cover; Title Page; Copyright; Preface; Acknowledgements; Contributing authors; Chapter 1: Introduction; 1.1 The origins of the SCAM project; 1.2 The scope of modelling in the modern world; 1.3 The different professions and traditions engaged in modelling; 1.4 Different types of models; 1.5 Different purposes for modelling; 1.6 The purpose of the book; 1.7 Overview of the chapters; References; Chapter 2: Statistical model selection; 2.1 Introduction; 2.2 Explanation or Prediction?; 2.3 Levels of Uncertainty; 2.4 Bias-Variance Trade-Off; 2.5 Statistical Models; 2.6 Model Comparison. 
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650 0 |a Simulation methods. 
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700 1 |a Christie, Mike. 
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776 0 8 |i Print version:  |z 9786613283092  |w (DLC) 2011020649 
830 0 |a Statistics in practice. 
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