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A practical information measure is used to determine the maximum allowable parameter variation limits.
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Burnham, K. & Anderson, A. Model selection and multi-model inference: a practical information-theoretic approach.
Burnham, K. P. & Anderson, D. R. Model-Selection and Multi-Model Inference: A Practical Information-Theoretic Approach (Springer, 2002).
Burnham, K. P. & Anderson, D. R. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach 2nd edn (Springer, 2002).
Burnham, K. P. & Anderson, D. R. Model selection and multimodel inference: a practical information-theoretic approach (Springer-Verlag, 2002).
Burnham, K. P. & Anderson, D. R. Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach (Springer, 2010).
Burnham, K. P. & Anderson, D. R. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (Springer, 2004).
Burnham, K. P. & Anderson, D. R. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (Springer Science & Business Media, Berlin, 2002).
Burnham, K. P. & Anderson, D. R. Model Selection and Multimodel Inference: A Practical Information-theoretic Approach (Springer Science & Business Media, New York, 2002).
Burnham, K. P. & Anderson, D. R. Model Selection and Multimodel Inference: A Practical Information-theoretic Approach 2nd edn (Springer, New York, 2002).
Burnham K. P. & Anderson D. R. Model Selection And Multimodel Inference: A Practical Information-theoretic Approach 2nd edn, (Springer, New York, 2002).
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