Abstract
The problem of estimation of the long-term environmental noise hazard
indicators and their uncertainty is presented in the present paper. The
type A standard uncertainty is defined by the standard deviation of the
mean. The rules given in the ISO/IEC Guide 98 are used in the
calculations. It is usually determined by means of the classic variance
estimators, under the following assumptions: the normality of measurements
results, adequate sample size, lack of correlation between elements of the
sample and observation equivalence. However, such assumptions in relation
to the acoustic measurements are rather questionable. This is the reason
why the authors indicated the necessity of implementation of non-classical
statistical solutions. An estimation idea of seeking density function of
long-term noise indicators distribution by the kernel density estimation,
bootstrap method and Bayesian inference have been formulated. These
methods do not generate limitations for form and properties of analyzed
statistics. The theoretical basis of the proposed methods is presented in
this paper as well as an example of calculation process of expected value
and variance of long-term noise indicators LDEN and LN. The illustration
of indicated solutions and their usefulness analysis were constant due to
monitoring results of traffic noise recorded in Cracow, Poland.
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