Reduction of uncertainty using adaptive modeling under stochastic criteria of information content

HIGHLIGHTS

  • who: Dmitry Anatolyevich Garanin from the Chittagong University of Engineering and Technology, Bangladesh have published the research: Reduction of uncertainty using adaptive modeling under stochastic criteria of information content, in the Journal: (JOURNAL)

SUMMARY

    The importance of a chosen criterion in creating a sound statistical choice cannot be overstated. The less unknown the system`s condition is, the more knowledge there is about entropy and information are frequently used as indicators of uncertainty in probability distributions. Entropy is a measure of uncertainty and probability distribution in mathematics statistics. The density of the joint . . .

     

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