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Contents
Model Selection and Multi-Model Inference
Presents several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision.
Introduction.- Information and Likelihood Theory and Models: A Basis for Model Selection and Inference.- Basic Use of the Information-Theoretic Approach.- Formal Inference From More Than One Model: Multimodel Inference (MMI).- Monte Carlo Insights and Extended Examples.- Advanced Issues and Deeper Insights.- Statistical Theory and Numerical Results.- Summary.
Specifications
| Pm Supplier | Springer Verlag |
|---|---|
| Pm Publisher | Springer Nature |
| Pm Isbn 10 | 0387953647 |
| Pm Isbn 13 | 9780387953649 |
| Pm Publication Date | 2002-07-12 |
| Pm Width | 161 |
| Pm Author | Anderson, David R, Burnham, Kenneth P |
| Pm Height | 31 |
| Pm Longness | 230 |
- Author: Anderson, David R, Burnham, Kenneth P
- Page Count: 488
Model Selection and Multi-Model Inference
£193.00
£193.00
ex. VAT
ex. VAT
SKU: 133831
- Author: Anderson, David R, Burnham, Kenneth P
- Page Count: 488
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