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Description
  • The maximum penalized likelihood estimation of the probability density function proposed by Good and Gaskins is applied and a complete methodology of how to estimate the dispersion measures of positive random variables with a single algorithm is presented. The approach is illustrated on three standard statistical models describing neuronal activity
  • The maximum penalized likelihood estimation of the probability density function proposed by Good and Gaskins is applied and a complete methodology of how to estimate the dispersion measures of positive random variables with a single algorithm is presented. The approach is illustrated on three standard statistical models describing neuronal activity (en)
Title
  • Nonparametric Estimation of Information-Based Measures of Statistical Dispersion
  • Nonparametric Estimation of Information-Based Measures of Statistical Dispersion (en)
skos:prefLabel
  • Nonparametric Estimation of Information-Based Measures of Statistical Dispersion
  • Nonparametric Estimation of Information-Based Measures of Statistical Dispersion (en)
skos:notation
  • RIV/67985823:_____/12:00378876!RIV13-GA0-67985823
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(GAP103/11/0282), P(GBP304/12/G069), P(GPP103/12/P558)
http://linked.open...iv/cisloPeriodika
  • 7
http://linked.open...vai/riv/dodaniDat
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  • 154419
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  • RIV/67985823:_____/12:00378876
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  • statistical dispersion; entropy; Fisher information; nonparametric density estimation; neuronal activity (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CH - Švýcarská konfederace
http://linked.open...ontrolniKodProRIV
  • [F9D3FC3D2C96]
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  • Entropy
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http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 14
http://linked.open...iv/tvurceVysledku
  • Košťál, Lubomír
  • Pokora, Ondřej
http://linked.open...ain/vavai/riv/wos
  • 000306748500007
issn
  • 1099-4300
number of pages
http://bibframe.org/vocab/doi
  • 10.3390/e14071221
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