TY - JOUR
TI - Nonparametric estimation for soil pore size distribution
AU - Charytanowicz, Małgorzata
TI - Nonparametric estimation for soil pore size distribution
AB - 
	The study is concerned with the nonparametric kernel estimation to determine the soil porosity and pore size distribution. The kernel density estimation, the kernel estimation of cumulative distribution function, and the kernel estimator of quantile are considered. After a short description of the method, practical aspects and applications in agricultural science are presented. The nonparametric kernel estimation does not require a priori assumptions relating to the choice of the density function shape. Moreover, its natural interpretation together with its suitable properties makes them an adequate tool among others in estimation methods.
VL - 2013
IS - Automatyka Zeszyt 4-AC (12) 2013
PY - 2014
SN - 0011-4561
C1 - 2353-737X
SP - 17
EP - 27
DO - 10.4467/2353737XCT.14.044.3952
UR - https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/nonparametric-estimation-for-soil-pore-size-distribution
KW - nonparametric estimation
KW - kernel estimators
KW - cumulative distribution function
KW - kernel estimator of quantile
KW - pore size distribution
KW - pore space
KW - total porosity