- Tytuł:
- The use of kernel estimators to determine the distribution of groundwater level
- Autorzy:
- Michalski, A.
- Powiązania:
- https://bibliotekanauki.pl/articles/108518.pdf
- Data publikacji:
- 2016
- Wydawca:
- Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
- Tematy:
-
probability density function
kernel density estimator
groundwater level - Opis:
- In this paper the problem of non-parametric estimation of the probability density function for hydrological data is considered. For a given random sample X1, X2, ..., Xn we define an estimator fˆ n of the density function ƒ based on a function K of a real variable – the so-called kernel of a distribution – and a properly chosen number sequence {hn} from the interval (0, ∞). This estimator of density function of a random variable X under more general assumptions is known in the statistical literature as the Parzen-Rosenblatt estimator or the kernel estimator. The method of kernel estimation presented in the paper has been applied to determine the probability distribution of the groundwater level based on long-term measurements made in the melioration research carried out at the foothill object Długopole.
- Źródło:
-
Meteorology Hydrology and Water Management. Research and Operational Applications; 2016, 4, 1; 41-46
2299-3835
2353-5652 - Pojawia się w:
- Meteorology Hydrology and Water Management. Research and Operational Applications
- Dostawca treści:
- Biblioteka Nauki
Artykuł