Statistical variability vs. probabilistic uncertainty

Žiha, Kalman (2013) Statistical variability vs. probabilistic uncertainty. = Statistical variability vs. probabilistic uncertainty. In: 35th International Conference on Information Technology Interfaces, ITI 2013, 24-27.06.2013., Cavtat / Dubrovnik; Croatia.

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The concepts of variability and uncertainty came from experience and coexist with different connotations. First, the article reviews the statistical methods for variability assessments of probability distributions. Next, it sums up the entropy concept of uncertainty of systems of events in probability theory. The two concepts are brought closer together on the basis of common experience of predictability. The article also considers the concept of average number of equally probable events based on entropy. Then, it introduces the concept of equivalent number of outcomes based on variability of probability distributions. Finally, the link between variability and uncertainty is illustrated with examples. © 2013 SRCE University Computing Centre, University of Zagreb.

Item Type: Conference or Workshop Item (Lecture)
Keywords (Croatian): Average numbers; equivalent numbers of outcomes; predictability; Probabilistic uncertainty; Probability theory; Statistical variability; uncertainty; variability; Entropy; Probability distributions; Information technology
Divisions: 600 Department of Naval Engineering and Marine Technology > 640 Chair of Shipbuilding Technology
Indexed in Web of Science: No
Indexed in Current Contents: No
Citations SCOPUS: 0 (10.11.2017.)
Date Deposited: 13 May 2015 08:00
Last Modified: 10 Nov 2017 08:32

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