This HTML5 document contains 42 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n18http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216208%3A11320%2F13%3A10125874%21RIV14-MSM-11320___/
dctermshttp://purl.org/dc/terms/
n14http://purl.org/net/nknouf/ns/bibtex#
n6http://localhost/temp/predkladatel/
n12http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n11http://linked.opendata.cz/resource/domain/vavai/subjekt/
n10http://linked.opendata.cz/ontology/domain/vavai/
n17https://schema.org/
shttp://schema.org/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/
skoshttp://www.w3.org/2004/02/skos/core#
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n9http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n8http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n19http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n13http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n5http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n16http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F13%3A10125874%21RIV14-MSM-11320___
rdf:type
skos:Concept n10:Vysledek
dcterms:description
This book covers the method of metric distances and its application in probability theory and other fiels. The method is fundamental in the study of limit theorems and generally in assessing the quality of approximations to a given probabilistic model. The method of metric distances is developed to study stability problems and reduces to the selection of an ideal or the most appropriate metric for the problem under consideration and a comparison of probability metrics. This book covers the method of metric distances and its application in probability theory and other fiels. The method is fundamental in the study of limit theorems and generally in assessing the quality of approximations to a given probabilistic model. The method of metric distances is developed to study stability problems and reduces to the selection of an ideal or the most appropriate metric for the problem under consideration and a comparison of probability metrics.
dcterms:title
The Methods of Distances in the Theory of Probability and Statistics The Methods of Distances in the Theory of Probability and Statistics
skos:prefLabel
The Methods of Distances in the Theory of Probability and Statistics The Methods of Distances in the Theory of Probability and Statistics
skos:notation
RIV/00216208:11320/13:10125874!RIV14-MSM-11320___
n10:predkladatel
n11:orjk%3A11320
n4:aktivita
n19:I
n4:aktivity
I
n4:dodaniDat
n16:2014
n4:domaciTvurceVysledku
n12:1682458
n4:druhVysledku
n15:B
n4:duvernostUdaju
n8:S
n4:entitaPredkladatele
n18:predkladatel
n4:idSjednocenehoVysledku
87640
n4:idVysledku
RIV/00216208:11320/13:10125874
n4:jazykVysledku
n13:eng
n4:klicovaSlova
Theory of Probability Distances; Statistical parameter estimation; Probability distances; Moge-Kantorovich mass transference problem
n4:klicoveSlovo
n9:Statistical%20parameter%20estimation n9:Probability%20distances n9:Moge-Kantorovich%20mass%20transference%20problem n9:Theory%20of%20Probability%20Distances
n4:kontrolniKodProRIV
[0DFFA870030D]
n4:mistoVydani
Berlin
n4:nazevEdiceCisloSvazku
Neuvden
n4:nazevZdroje
The Methods of Distances in the Theory of Probability and Statistics
n4:obor
n5:BA
n4:pocetDomacichTvurcuVysledku
1
n4:pocetStranKnihy
619
n4:pocetTvurcuVysledku
4
n4:rokUplatneniVysledku
n16:2013
n4:tvurceVysledku
Stoyanov, Stoyan Fabozzi, Frank Klebanov, Lev Rachev, Svetlozar
s:numberOfPages
619
n14:hasPublisher
Springer-Verlag
n17:isbn
978-1-4614-4868-6
n6:organizacniJednotka
11320