Model Selection and Inference
Format: Hardcover
ISBN13: 9780387985046
Hardcover|9780387985046
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Overview
This work covers the philosophy of model-based data analysis and provides an omnibus strategy for the analysis of empirical data. It introduces information theoretical approaches and focuses critical attention on a priori modelling and the selection of a good approximating model that best represents the inference supported by the data. Kullback-Leibler information represents a fundamental quantity in science and is Hirotugu Akaike's basis for model selection. The maximized log-likelihood function can be bias-corrected to provide an estimate of expected, relative Kullback-Leibler information. This leads to Akaike's Information Criterion (AIC) and various extensions. The information theoretic approaches seek to provide a unified theory, an extension of likelihood theory.
| ISBN-13 | 9780387985046 |
|---|---|
| ISBN-10 | 0387985042 |
| Weight | 1.46 Pounds |
| Dimensions | 9.46 x 6.30 x 0.88 In |
| List Price | $79.95 |
| Format | Hardcover |
|---|---|
| Pages | 372 pages |
| Publisher | FisicalBook |
| Published On | 1998-10-01 |
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Bonita
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