Sentence examples for methods for parameters from inspiring English sources

This research activity deals with robust methods for parameters estimation of nonlinear models and the outliers detection.

Since the distribution of the random variables involved in the model are very difficult to be theoretically retrieved, classical statistical methods for parameters estimation, like maximum likelihood, could not be applied to this case.

Since taking sections is expensive, here we aim to build a 3D model using methods for parameters identification applicable also in case of a lower number of available sections, in order to reduce the industrial experimental costs.

A variant detection analysis was performed to assess the degree of homozygosity among the individual plants used for sequencing (see Materials and Methods for parameters used in this analysis).

We searched the sequences from both the libraries against miRbase [ 25, 26] to identify conserved miRNAs (see Methods for parameters used) and used the length of conserved miRNA sequences in the library as a measure of quality.

To overcome the inefficiency of the enzymatic method, we adopted the explant culture method and compared the two methods for parameters such as characteristics of MSCs, the level of bFGF as a representative growth factor from UCs, and MSC gene expression profiles.

Two new methods for parameter estimation are proposed.

We tested both discriminative Maximum Likelihood and Maximum-Margin methods for parameter estimation.

Therefore, specialized numerical methods for parameter estimation in stochastic models have been developed.

The experimental and calculational methods for parameter d* estimation are analyzed.

In this work methods for parameter estimation in systems of nonlinear differential equations are compared.