Analysis of Studies of the Distribution of Input Disturbances of Potato Harvesting Machines and Evaluation of Moment Functionals in a Competing Risk Model using an Empirical Bayesian Approach

Abstract

This article studies the input disturbances of potato harvesting machines, i.e. separation of potato tubers from the mass and estimation of moment functionals in a competing risks model using an empirical Bayesian approach. The process of separation of soil from potatoes at the elevator of a potato harvester, which is exposed to competing risks, is considered as an elementary event. Here, the studied non-negative random variable (r.v.) means the stable operation of the tested technical device under consideration.