Sentence examples for preserve degrees from inspiring English sources

Following Ref. [ 35], we do not try to estimate the dye-specific bias of individual spots or genes (i.e., dye-gene interaction) in order to preserve degrees of freedom needed to estimate the variance.

But to repeat, whether multi-level bargaining as currently practiced might be an intermediate step in this direction or whether it can be construed as pursuing decentralization consistent with single-employer bargaining while preserving degrees of freedom in macro adjustment is nowhere addressed.

We avoided overfitting the models and preserved degrees of freedom, an approach which is transparent and potentially replicable in other samples [ 54].

Two populations of control networks (both with n = 100 exemplars) were constructed, using a Markov switching algorithm that preserves degree sequences [35].

We used rewired networks for benchmark random networks by randomizing or rewiring the original networks while preserving degree distributions (Maslov and Sneppen 2002; Rubinov and Sporns 2010).

Random networks were constructed by randomizing or rewiring the original networks while preserving degree distributions (Maslov and Sneppen 2002; Rubinov and Sporns 2010).

Brain Connectivity Toolbox (Rubinov and Sporns 2010) was used to calculate network measures: in- and out-degree, local efficiency and the generation of random networks by rewiring our directed networks while preserving degree distributions.

We note that using a randomization of the connectivity matrix, preserving degree sequence of the connection and thus the hub structure of the network, ensured the use of a conservative model to estimate the density of connections between >k nodes, and therefore a conservative estimate of rich club organization (van den Heuvel, Kahn et al. 2012).

To preserve the degrees of freedom in these smaller sub-samples, we estimated a more restricted binary probit model predicting the probability of non-willingness to naturalise versus all other alternatives.

Randomization is performed by edge-swapping in order to preserve vertex degrees.

This may preserve some degrees of freedom, where one can spend by adding covariates to the model to measure their potential effects on the performance of the diagnostic tests.