Statistical Methods for Analyzing Musk Compounds Concentration based on Doubly Left-Censored Samples
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU105547" target="_blank" >RIV/00216305:26220/13:PU105547 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Statistical Methods for Analyzing Musk Compounds Concentration based on Doubly Left-Censored Samples
Original language 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 ratiotest, 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 extractedfrom the fish samples caught in front of and behind a wastewater treatment plant. The power functions of particular tests are compared by simulations.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
ISSN
1998-0140
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
8
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
755-763
UT code for WoS article
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EID of the result in the Scopus database
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