Sentence examples for ranking design from inspiring English sources

A simulation study shows that, besides the Bayesian D-optimal ranking design, the Bayesian D-optimal choice design is also an appropriate design for this type of experiments.

This paper introduces arc-elastic dominance as a suitable concept for ranking design solutions according to a combination of objective and subjective models.

One study used a ranking design, where respondents had to arrange each of the attributes in descending order of importance [ 24].

They were clustered around the lowest ranking designs of the classification of quasi-experimental studies proposed by Harris et al. [ 37] (Table 1).

In principle, prediction-mapped experimental data could be used as a proxy for predicting sensitivity or accuracy and as a metric for ranking designs.

Wang et al. (1996) discuss that such models are identifiable for full rank design matrices.

If the covariance matrix of the observed data vector is known, the optimal reduced-rank design is singular value decomposition (SVD -based [13, 14].

To solve the rank deficiencies in the undifferenced observation equations, the estimable parameters are formed to generate full-rank design matrix.

The delayed code matrices and data forwarded from the relays shift the DSTC structure which results in the collapse of the rank design criterion and leads to degradation of decoding performance.

In contrast to fixed linear models, genome-wide prediction methods can also be applied to over-parametrized data sets with non full-rank design matrices.

Hence, with full rank design matrices, the LSQ analysis seems the most suitable method when it can be assumed that the trait is controlled by one or two major genes and the heritabilities are 0.8 or greater.