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2013 | 123 | 6 | 1007-1011
Article title

Robust Statistical Procedures in Statistical Analysis of Controllable Noise Indicators

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EN
Abstracts
EN
The subject of the paper is statistical analysis of noise measurement results in control research of environment which is crucial for the process of identification, estimation, and interpretation of the characteristics of representative noise indicators. The proposed approach is based on robust methods of statistical analysis. In particular, the method of modeling measurement results with the use of autoregressive-moving average (ARMA) time series models is described. The subjects of identification, analysis, and connected matter of verification that occur during proposed mathematical formalization of considered problem are stated. Furthermore, the question of the validity and usability of normal distribution approximation, which is very common in modeling and estimation of the expected value of the equivalent sound level, is addressed. The illustration of the proposed methodology is represented by an example of the noise analysis from the permanent monitoring in the city of Kielce. The obtained results create the background for uncertainty of estimates of calculation concerning controlled noise indicators that describe the state of acoustic environmental threats.
Keywords
EN
Publisher

Year
Volume
123
Issue
6
Pages
1007-1011
Physical description
Dates
published
2013-06
Contributors
author
  • AGH - University of Science and Technology, Faculty of Mechanical Engineering and Robotics Department of Mechanics and Vibroacoustics, al. A. Mickiewicza 30, 30-059 Krakow, Poland
author
  • Cracow University of Economics, Department of Statistics, Rakowicka 27, 31-510 Kraków
References
  • [1] Directive 2002/49/WE of the European Parliament and of the Council of 25 June 2002, relating to the assessment and management of environmental noise, Official Journal of the European Communities, 18 July 2002
  • [2] The Act of 27-th April 2001, Environment Protection Law, J. Law 2008 No. 25, item 150 with later amendments)
  • [3] Regulation of the Minister of Environment, of 2-nd October 2007, concerning requirements of performing in the environment the measurements of substances or energy levels for managers of roads, railways, tramways, airports and harbors J. Law 2007, No. 192, item 1392
  • [4] Guide to the Expression of Uncertainty Measurement. International Organization for Standardization, ISBN 92-67-10188-9, 1995
  • [5] W. Batko, R. Bal-Pyrcz, Archiv. Acoust. 31, 253 (2006)
  • [6] R. Bal, Ph.D. Thesis, WIMiR AGH University of Science and Technology, Kraków 2011
  • [7] W. Batko, R. Bal, Archiv. Acoust. 35, 361 (2010)
  • [8] G.E.P. Box, G.M. Jenkins, G.C. Reinsel, Time Series Analysis: Forecasting and Control, Wiley Series in Probability and Statistics, 4 edition, Wiley, New Jersey 2008
  • [9] P.J. Brockwell, R.A. Davis, Introduction to Time Series and Forecasting, 2nd edition, Springer, New York 2002
  • [10] A.K. Bera, M. Jarque, Internat. Statist. Rev. 55, 163 (1987)
  • [11] A.M. Bianco, B.M. Garcia, E.J. Martinez, V.J. Yohai, COMPSTAT 96, Proceedings in Computational Statistics, Ed. A. Prat, Physica-Verlag, Heidelberg 1996, p. 27
  • [12] A.M. Bianco, B.M. Garcia, E.J. Martinez, V.J. Yohai, J. Forecast. 20, 565 (2001)
  • [13] R.A. Maronna, D.R. Martin, V.J. Yohai, Robust Statistics: Theory and Methods, John Wiley and Sons, New York 2006
  • [14] R.A. Yohai, R.H. Zamar, JASA, 86, 403 (1988)
  • [15] G. Brys, M. Hubert, A. Struyf, Symposium A Quarterly Journal In Modern Foreign Literatures, Physica-Verlag, Heidelberg 2004, p. 753
  • [16] Y.R Gel, W. Miao, J.L. Gastwirth, Comp. Stat. Data Analys. 51, 2734 (2007)
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-appv123n609kz
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