5. Approximate Models

  1. Peter J. Huber

Published Online: 5 JUL 2011

DOI: 10.1002/9781118018255.ch5

Book Title

Data Analysis: What Can Be Learned From the Past 50 Years

Data Analysis: What Can Be Learned From the Past 50 Years

Additional Information

How to Cite

Huber, P. J. (2011) Approximate Models, in Data Analysis: What Can Be Learned From the Past 50 Years, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118018255.ch5

Publication History

  1. Published Online: 5 JUL 2011
  2. Published Print: 4 APR 2011

ISBN Information

Print ISBN: 9781118010648

Online ISBN: 9781118018255

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CHAPTER TOOLS

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Keywords:

  • Bayesian modelling;
  • composite models;
  • simulation;
  • approximate models;
  • physical relevance

Summary

This chapter contains sections titled:

  • Models

  • Bayesian Modeling

  • Mathematical Statistics and Approximate Models

  • Statistical Significance and Physical Relevance

  • Judicious use of a Wrong Model

  • Composite Models

  • Modeling The Length of Day

  • The Role of Simulation

  • Summary of Conclusions

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