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  • This paper is concerned with searching for the solution of a statistical problem of finding the N-dimensional simultaneous discrete probability distribution of a discrete random vector by minimizing Hellinger and Shannon quasinorms with given constraints. These constraints are chosen in a general form using functions suitable for the widest use possible but linear in unknown probabilities. The paper is an extension of the theoretical results arrived at in previous papers.
  • This paper is concerned with searching for the solution of a statistical problem of finding the N-dimensional simultaneous discrete probability distribution of a discrete random vector by minimizing Hellinger and Shannon quasinorms with given constraints. These constraints are chosen in a general form using functions suitable for the widest use possible but linear in unknown probabilities. The paper is an extension of the theoretical results arrived at in previous papers. (en)
Title
  • Hellinger Quasinorm and Shannon Quasinorm in N-dimensional Space
  • Hellinger Quasinorm and Shannon Quasinorm in N-dimensional Space (en)
skos:prefLabel
  • Hellinger Quasinorm and Shannon Quasinorm in N-dimensional Space
  • Hellinger Quasinorm and Shannon Quasinorm in N-dimensional Space (en)
skos:notation
  • RIV/00216305:26210/04:PU48508!RIV11-MSM-26210___
http://linked.open...avai/riv/aktivita
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  • V, Z(MSM 261100009)
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  • 566025
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  • RIV/00216305:26210/04:PU48508
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  • Hellinger quasinorm, Shannon quasinorm, discrete probability distribution, general linear constraints (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C284D389D61B]
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  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
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  • MENDEL ´04. 10th International Conference on Soft Computing
http://linked.open...in/vavai/riv/obor
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  • Karpíšek, Zdeněk
  • Jurák, Petr
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number of pages
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  • Neuveden
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  • 80-214-2676-4
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  • 26210
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