Sentence examples for estimation purpose from inspiring English sources

That means this study utilises Markov random sub-class of ERG models for modelling cross-sectional PCNs and maximum Monte Carlo Markov chain maximum (MCMC) estimator for estimation purpose.

In nonlinear models, a typical way to determine the interaction effect between variables is to linearize the model for estimation purpose, add an interaction term, and then use the estimate of the parameter of the interaction term to determine the presence (or absence) and the extent of the interaction effect.

Six outputs (shoulder width, hip width, knee height, buttock-popliteal height, popliteal height, and height) were selected for estimation purpose.

A change of state variable is proposed in order to formulate the state-models according to a form suited to the parameter estimation purpose.

Second, under the assumption, the output matrices of nonlinear switched system are with some special forms which can also be dealt by orthogonal procedure if they are not satisfied, multiple reduced-order switched observers are proposed by coordinate transformation approach such that the state estimation purpose is reached for original nonlinear switched systems.

The dynamic panel data approach, generalized method of moments (GMM), is used for estimation purpose.

The CFO estimation method introduced in the following uses the pilot structures, introduced primarily for channel estimation purposes, to estimate the CFO present in the received samples.

In contrast to orthogonal designs, efficient designs are not intended to minimise the correlation of the data for estimation purposes, but to generate parameter estimates with the lowest possible standard errors [22].

The principle used is the minimisation of the correlation in the data for estimation purposes so that standard errors on parameter estimates are ultimately minimised.

As such, they attempt to minimise the correlation in the data for estimation purposes and collect data such that parameter estimates have as small as possible SEs.

As such, they attempt to minimise the correlation in the data for estimation purposes, and collect data such that parameter estimates have as small as possible standard errors.