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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...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, West Sussex, U.K. ; Hoboken, N.J. :
Wiley,
©2011.
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| Colección: | Statistics in practice.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.