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To ensure that the students could respond to a sufficient number of the financial items despite limited test-taking time, the project team used a multiple matrix design.
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Geographical distance and IBR matrices were tested against matrices of pairwise FST values using a multiple matrix regression with randomization (MMRR) approach (Wang 2013).
To further evaluate the relative importance of each environmental variable and spatial distance on the community phylogenetic dissimilarity, we used a multiple regression on matrices (MRM) approach58.
We used a multiple Mantel test [44] with four similarity matrices to test this hypothesis.
For example, Zhang et al. proposed an effective data integration framework using a multiple nonnegative matrix factorization framework and simultaneously integrated additional network in a regularized manner to identify microRNA-gene regulatory modules associated with ovarian cancer [ 12, 13].
As is common in large-scale studies, the LV 2011 used a balanced multiple matrix sampling design to compile the test booklets.
using a multiple linear regression.
We transformed and extended the continuous-time model developed by Rosà and Pugliese [29] for TBEV into a discrete-time model to include the seasonal life cycle of the tick, using the multiple matrix model approach introduced by Sandberg et al. [26] for Lyme disease.
One of the major findings of the research was that the cost of HVAC systems of any given office building project can be assessed from the same building conditions with highly confidence limits using multiple matrix models of HVAC sub-systems and this provided a basis for developing 960 cost models.
We assessed whether geographic variation in morph frequencies in C. decresii can be explained by genetic and/or environmental factors using multiple matrix regression as implemented in FSTAT ver. 2.9.3.2 [ 46].
Some consensus clustering methods used a pairwise similarity matrix of instances to combine multiple clustering solutions [ 1, 2], others used associations between instances and clusters in the consensus matrix [ 4].
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