Sentence examples for With a known mean from inspiring English sources

It is assumed that the time horizon of the business period is random in nature and follows exponential distribution with a known mean.

One of the earliest studies was conducted in [4] where the relationship between lower and upper bounds on the mutual information between transmitted and estimated Gaussian symbols is derived by modeling a time-varying frequency-selective channel as a random component with a known mean and a covariance that accounts for the channel estimation error.

Taking the above shortcomings into account, this paper presents some EPQ models for a deteriorating item considering delay in payment and linearly stock-dependent demand with a random planing horizon, that is, the life time of the product is assumed as random in nature and follows an exponential distribution with a known mean.

Accordingly, tetrahydrofuran mol% in the feed stream is assumed to be a Gaussian variable with known mean and standard deviation, and a stochastic mixed-integer nonlinear programming optimization framework is developed that is on the basis of the steady-state model of the plant.

It is assumed that the breakdown time for each machine follows a general distribution with known mean time to repair (MTTR) and known mean time between failures (MTBF).

The first part explains the mean behavior of the function we interpolate and the second part is a stochastic function with known mean and variance.

Consider a normal distribution with known mean μ and unknown variance σ 2 to be inferred.

However, as the main focus of this paper is not forecast techniques, we assume that forecast error of the uncertain factors follow a certain probability distribution with known mean value and standard deviation.

We can then check for consistency with the known mean free paths in germanium for each photon energy, as well as with our detailed simulations of the detector performance.

This equation represents the likelihood function for observing a population response R for the presented stimulus θ0 with known mean tuning characteristics r i (θ0) (here x i T represents the number of spikes fired by neuron i during the reading time of the neuronal population).

We assume that the insert size distribution in a set of reads R can be modeled by the normal distribution with known mean μ and standard deviation σ.