Sentence examples for stochastic terms from inspiring English sources

end{aligned} (25) We evaluate the deterministic and stochastic terms separately in the following subsections.

The individual stochastic terms are defined by (left {nu _{j,k^{o}}, epsilon _{j,k^{o}}^{k} right }).

The distribution is obtained because, conditional on the value of the estimator, the parameters and the stochastic terms become perfectly correlated.

The new process noises and observation noises consist of the original stochastic terms, and the process noises are still autocorrelated.

We assume that the stochastic terms are jointly distributed following a bivariate normal distribution and therefore our model is a bivariate probit.

In order to model effects such as eating a meal or physical activity, which can occur at random times, we will introduce stochastic terms into the model.

One space is a nonempty set responsible for the deterministic non- autonomous terms; while the other space is a probability space responsible for the stochastic terms.

The use of random and stochastic terms is more effective in this sense, compared with other tools of deterministic analysis or fractional calculus.

The proposed solution procedure first segregates the DOFs appearing in the nonlinear and/or stochastic terms from those DOFs that involve only linear deterministic operations.

An integral treatment is used for the evaluation of the coupled stochastic terms, following the framework of the particle strength exchange (PSE) methods, which yields a conservative algorithm.

The conditional logit is the most commonly used method to analyse DCE data, but relies on restrictive assumptions on the stochastic terms [23], fails to incorporate the panel structure of most DCE data and does not account for preference heterogeneity.