We propose a method of estimation of the derivatives of probability density based on wavelets methods for a sequence of random variables with a common one-dimensional probability density function and obtain an upper bound on Lp-losses for such estimators. We suppose that the process is strongly mixing and we show that the rate of convergence essentially depends on the behavior of a special quad...

In this paper, it is supposed that a project can be shown as a metagraph. The duration of activities are discrete random variables with known probability function, also one kind of consumable and constrained resource is required to execute each activity of the project.The objective of this paper is to maximize the probability of completion of stochastic metagraph before the due date of the proj...