Publication detail

Statistical Analysis of Musk Compounds Concentrations in Fish Tissue Based on Doubly Left-Censored Samples

FUSEK, M. MICHÁLEK, J. ZOUHAR, L. VÁVROVÁ, M.

Original Title

Statistical Analysis of Musk Compounds Concentrations in Fish Tissue Based on Doubly Left-Censored Samples

Type

conference paper

Language

English

Original Abstract

This contribution is focused on worldwide commonly used synthetic musk compounds and their occurrence in water biota, specifically in fish muscle. Method of maximum likelihood considering doubly left-censored samples is used for statistical evaluation of musk compound concentration. As for model distributions, the exponential and Weibull distributions are considered. Moreover, using the asymptotic properties of maximum likelihood estimates, concentrations of musk compounds extracted from the fish samples caught in front of and behind a wastewater treatment plant are compared.

Keywords

Musk compounds, maximum likelihood, doubly left-censored sample, Weibull distribution, exponential distribution, Lagrange multiplier test

Authors

FUSEK, M.; MICHÁLEK, J.; ZOUHAR, L.; VÁVROVÁ, M.

RIV year

2012

Released

2. 12. 2012

Publisher

WSEAS Press

Location

Paris, France

ISBN

978-1-61804-139-5

Book

Recent Advances in Energy, Environment and Economic Development

Edition

Mathematics and Computers in Science and Engineering Series

Edition number

6

ISBN

2227-4588

Periodical

Advances in Mathematical and Computational Methods

State

Hellenic Republic

Pages from

247

Pages to

250

Pages count

4

BibTex

@inproceedings{BUT95711,
  author="Michal {Fusek} and Jaroslav {Michálek} and Libor {Zouhar} and Milada {Vávrová}",
  title="Statistical Analysis of Musk Compounds Concentrations in Fish Tissue Based on Doubly Left-Censored Samples",
  booktitle="Recent Advances in Energy, Environment and Economic Development",
  year="2012",
  series="Mathematics and Computers in Science and Engineering Series",
  journal="Advances in Mathematical and Computational Methods",
  number="6",
  pages="247--250",
  publisher="WSEAS Press",
  address="Paris, France",
  isbn="978-1-61804-139-5",
  issn="2227-4588"
}