Bootstrapped Information-Theoretic Model Selection with Error Control (BITSEC)
abstract: Statistical model selection using the Akaike Information Criterion (AIC) and similar criteria is a useful tool for comparing multiple and non-nested models without the specification of a null model, which has made it increasingly popular in the natural and social sciences. De- spite their...
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| Format: | Dissertation |
| Language: | English |
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2018
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| Online Access: | http://hdl.handle.net/2286/R.I.51801 |