Sentence examples for quality of parameters from inspiring English sources

Hereby, the non-linearity method ("intrinsic" and "parameter-effect" non-linearity) proposed by Bates and Watts [1980. Relative curvature measures of non-linearity. Journal of the Royal Statistical Society: Series B (Methodological) 42, 1 25] was used to check the quality of parameters and the suitability of model/data combinations.

Obviously, the bottleneck of clustering-based approaches is the data clustering stage because the quality of parameter estimation and region reconstruction depend on the accuracy of clustering.

The results showed that the quality of parameter estimation largely depends on the hydric regime and its interaction with crop type.

The resulting robust optimal DWMR protocols improve the worst-case quality of parameter estimates using nonlinear least squares optimization by exploiting available a priori knowledge of model parameters.

Adding data may worsen the quality of parameter estimates, and in fact may even cause a design sequence to lose strong consistency.

The proposed parameter estimation algorithm (10)–(13) are derived from the M robust concept that is conservative, so the quality of parameter estimates may degrade without further adaptations of s and ρ variables.

To improve the quality of parameter estimation in measurement models, and therefore the validity of group score estimates, one solution is to identify responses from individual students showing disengagement with the test/items and remove them from the analysis.

In this paper we describe how the quality of parameter estimates can be analyzed.

The quality of parameter estimation depends both on the number of parameters to estimate (k m +1 for an order m Markov model) and of the length (n) of the homogeneous sequence used for their estimation.

However, the quality of parameter estimates remained reasonable (RRMSE < 50%) when using designs with frequent sampling in the first week, at least as long as BDL data were correctly handled.

Secondary efficacy parameters included left ventricular ejection fraction, quality-of-life parameters, arterial blood pressures, neurohormonal changes and NYHA classification.