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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F13%3APU105547%21RIV14-MSM-26220___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
This contribution is focused on statistical methods for analyzing the worldwide commonly used synthetic musk compounds. Method of maximum likelihood considering doubly left-censored samples is used for statistical modeling of musk compound concentration. As for model distributions, the exponential and Weibull distributions are considered. The suitability of replacement of Weibull distribution with exponential distribution is explored using the asymptotic tests (Lagrange multiplier test, likelihood ratio test, Wald test). Moreover, using the asymptotic properties of maximum likelihood estimates, methods for comparison of two censored samples from exponential distribution are proposed and applied in analysis of concentrations of musk compounds extracted from the fish samples caught in front of and behind a wastewater treatment plant. The power functions of particular tests are compared by simulations. This contribution is focused on statistical methods for analyzing the worldwide commonly used synthetic musk compounds. Method of maximum likelihood considering doubly left-censored samples is used for statistical modeling of musk compound concentration. As for model distributions, the exponential and Weibull distributions are considered. The suitability of replacement of Weibull distribution with exponential distribution is explored using the asymptotic tests (Lagrange multiplier test, likelihood ratio test, Wald test). Moreover, using the asymptotic properties of maximum likelihood estimates, methods for comparison of two censored samples from exponential distribution are proposed and applied in analysis of concentrations of musk compounds extracted from the fish samples caught in front of and behind a wastewater treatment plant. The power functions of particular tests are compared by simulations.
dcterms:title
Statistical Methods for Analyzing Musk Compounds Concentration based on Doubly Left-Censored Samples Statistical Methods for Analyzing Musk Compounds Concentration based on Doubly Left-Censored Samples
skos:prefLabel
Statistical Methods for Analyzing Musk Compounds Concentration based on Doubly Left-Censored Samples Statistical Methods for Analyzing Musk Compounds Concentration based on Doubly Left-Censored Samples
skos:notation
RIV/00216305:26220/13:PU105547!RIV14-MSM-26220___
n10:predkladatel
n16:orjk%3A26220
n3:aktivita
n12:S
n3:aktivity
S
n3:cisloPeriodika
8
n3:dodaniDat
n6:2014
n3:domaciTvurceVysledku
n13:2837633
n3:druhVysledku
n11:J
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n5:predkladatel
n3:idSjednocenehoVysledku
107776
n3:idVysledku
RIV/00216305:26220/13:PU105547
n3:jazykVysledku
n17:eng
n3:klicovaSlova
Musk compounds, maximum likelihood, doubly left-censored sample, Weibull distribution, exponential distribution, Lagrange multiplier, likelihood ratio, Wald test
n3:klicoveSlovo
n4:likelihood%20ratio n4:exponential%20distribution n4:maximum%20likelihood n4:Wald%20test n4:Lagrange%20multiplier n4:doubly%20left-censored%20sample n4:Musk%20compounds n4:Weibull%20distribution
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[1467B4FF8D8F]
n3:nazevZdroje
INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
n3:obor
n18:BB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n6:2013
n3:svazekPeriodika
7
n3:tvurceVysledku
Fusek, Michal Michálek, Jaroslav
s:issn
1998-0140
s:numberOfPages
9
n15:organizacniJednotka
26220