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Marengo and Sanchez (2009) have developed a more statistical approach to source classification using magnitudes and colours, based on a so-called Nearest Neighbour (k-NN) method.
By calculating the equilibration temperature of a large number of (reservoir) rock forming minerals, multicomponent geothermometry provides a more statistical approach of determining in situ temperatures.
Li et al. suggest another more statistical approach in [15], and use multiple hypothesis testing to filter out the links that appeared randomly in the network and that are therefore not the mirror of a true social relationship.
This is important for three reasons: (i) the more information, the better, (ii) researcher time is valuable, computing time is cheap, (iii) large sample sizes allows for a more statistical approach to data analysis.
We have therefore opted for estimating the net effect of climate through its many pathways through a more statistical approach rather than use a more explicit model whose many parameters cannot be established and thus easily could introduce an unknown bias.
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This assessment of the community structure differs from the more statistical approaches to clustering adopted in previously published research [ 19, 20].
Instead, we consider a more robust statistical approach based on multiple peaks in the CCF.
Our data corroborate these findings and expand these prior researches by using more robust statistical approach in a different patient population and practice setting.
The results of our study significantly extend a previous phylogenetic study of the number of males in primate groups [10] by increasing the taxonomic scope and by using a more sophisticated statistical approach.
This would necessitate a rather more complex statistical approach to the inter-rater reliability of this group of tests.
Instead, a more robust statistical approach, such as HLM, is required to definitively identify gender performance differences.
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