Abstract. The article is dedicated to development of algorithms for recovery of the unknown function of the experimental data distribution density on the basis of nonparametric statistics, i.e. Parzen-Rosenblatt estimates. The results of the algorithms are illustrated by examples of gas pipeline pressures processing and the number of cycles prior to samples failure during their durability tests.