| What do you think about the following normalization ? (q>0) This is a possible normalization of the probability distributions for incomplete information theory. q is called incomplete parameter and equals unity when information is complete. To understand why we have to introduce the above normalization of probability with q different from unity, please see an introduction to incomplete information theory and also our recent publications. |
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| Incomplete statistics |
| A clear physical signification can be given to the empirical parameter q (or \omega). You can find a detailed discussion here . |