Sentence examples for multivariate response such from inspiring English sources

In particular the modeling of a multivariate response such as the species-specific attributes is generally built upon non-parametric nearest neighbor (NN) approaches, in which the predictions of the considered forest attributes are simultaneously obtained as (weighted) averages of the k most similar reference observations in terms of the considered distance metric applied in the predictor space.

In this paper we present a program, Popdes, to investigate the D-optimal design of individual and population multivariate response models, such as pharmacokinetic pharmacodynamic, physiologically based pharmacokinetic, and parent drug and metabolites models.

A new method of processing multivariate response data to extract chemical information has been developed.

The optimization of the extraction conditions was carried out using multivariate response surface methodology.

Hard modeling approaches of fitting multivariate response data are based on mathematical relationships, which describe the measurements quantitatively [14]‐[16].

In the current experiments, the dependent AEP (or HGB power) measurement was treated as a multivariate response and assumed to be sampled from a multivariate distribution [34].

Tests were made for associations within each functional domain by exploring a linear multivariate response model.

Furthermore, the GEMANOVA model has additional advantages such as the possibility of readily including multivariate responses (e.g., an entire spectral data set), model uniqueness, and curve resolution abilities.

Designs for multivariate responses can likewise be found, requiring only the appropriate information matrix.

Some new results in the theory of optimum experimental design for multivariate responses are presented.

Modeling conditional independences in multivariate responses is an open problem.