Validity of model simplification


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      		Views: (2005)   Date: (Publication Date: 5-7 Dec 1990)   Pages: ()

    • Author:  Pacut  A. Kolodziej  W.J. Dept. of Electr. & Comput. Eng.  Oregon State Univ.  Corvallis  OR;  

    • Abstract:  Abstract The validity of model simplification is defined in statistical terms. Two models, the reference model and the simplified model, are compared. The simplified model is called 1-? acceptable if it is not rejected with probability 1-?, by a statistical test which uses data generated by the reference model. The model is called a valid simplification on the validity level ? if the ratio of the probability of its acceptance to the probability of acceptance of the reference model is equal to ?. This definition takes into account a possibility of observing the reference model rather than the data. The application of the Kolmogorov test to validity testing is discussed

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