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Statistical Modeling by AIC

Part of the Springer Series in Statistics book series (SSS)

The majority of the problems in statistical inference can be considered to be problems related to statistical modeling. They are typically formulated as comparisons of several statistical models. In this chapter, we consider using the AIC for various statistical inference problems such as checking the equality of distributions, determining the bin size of a histogram, selecting the order for regression models, detecting structural changes, determining the shape of a distribution, and selecting the Box-Cox transformation.

Keywords

Maximum Likelihood Estimate Change Point Seismic Signal Normal Distribution Model Original Histogram 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2008

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