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Four methods based on different statistical information of a random variable are used to determine the polynomial coefficients in this normal transformation technique.
3D-QSAR models were generated in PHASE programme, and the best model corresponding to PLS factor four (QSAR4), was selected based on different statistical parameters (i.e., R2train, 0.96; Q2teSD 0.26; SD, 0.26).
Analyses conducted of the plans in the context of real-time changes have to be based on different statistical models than for classic experimental study designs, where treatment factors are fixed rather than dynamic.
Many clustering/cluster detection methods have been developed based on different statistical models specific for point and/or areal features within the two broad categories of global and local (Fritz et al. 2013).
Many clustering/cluster detection methods have been developed over the past two decades based on different statistical approaches such as distance based, nearest neighbour, and scanning local rates for point and aggregated data (Auchincloss et al. 2012; Fritz et al. 2013).
Duun-Henriksen et al. [12] investigated different channel selection schemes based on different statistical criteria as follows: The variance of ictal data of all available channels is estimated with the equation: {V}_{mathrm{ict}}(c)=frac{1}{k}{displaystyle sum_{i=1}^k{left({x}_c(i -{mu}_cright)}^2} (1).
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The approaches are based on different assumptions, different statistical tests are used and statistical significance (p-values) will differ.
The present result also agrees with that obtained in one of our previous works, based on different data and different statistical approaches.
However, this is not too surprising, given that the metrics are based on different biological and/or statistical models and have different assumptions, statistical methodologies, and false positive/negative rates.
This outcome is probably due to the fact that these two coalescent methods are based on different assumptions and statistical models6,7.
For example, previous genome-wide scans for positive selection in humans based on different mechanisms or statistical tests revealed a low level of concordance among the identified positively selected genes [16].
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based on different mathematical
based on different electrical
based on classic statistical
based on simple statistical
based on different uncoupled
based on different scan
based on multifactorial statistical
based on different morphometric
based on detailed statistical
based on different figures
based on different data
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