A discrete random variable maps the outcomes of a chance process to a countable set of numbers. Variables corresponding to outcomes that are are counted are discrete. Values might be fractional and ...

A majority of probabilistic load flow studies assume independence or arbitrarily set linear correlation coefficients between the various loads and other inputs on the distribution system. These ...

We provide continuous-discrete observers for a large class of time-varying linear systems where the inputs and outputs have sampling and delays, and where the systems and outputs contain uncertainties ...

It includes discrete and continuous random variables, their probability distributions and analytical and statistical methods for determining the mean, variance and higher order moments that ...

The analytical results obtained from this model complement those from the numerical exploration of the simulation model. (5) Both models show clearly that discrete generation cycles are favoured by a ...

We adapt the MP3D connectivity graphs defined for the discrete environments to the continuous Habitat-MP3D environments, such that all nodes are positioned in open space and all edges on the graph are ...

The continuous-time case, as well as the temporally sampled (discrete-time) case is covered. The theory is accompanied by a series of computational examples and exercises written in IPython 3. The ...

In a number of situations we are faced with the problem of determining efficient estimates of the mean and variance of a distribution specified by (i) a non-zero probability that the variable assumes ...