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We verified this finding with the Satorra Bentler test, which calculates the differences of scaled (mean adjusted) Chi square values.
This theorem specifies the rate at which the scaled mean of a random sample converges to the normal distribution for all sample spaces.
In probability theory, the CLT states that, under certain circumstances, the probability distribution of the scaled mean of a random sample converges to a normal distribution as the sample size increases to infinity.
In this equation, numerator and denominator state the dot product and the product of the Euclidean norm of vectors with scaled mean values u_{x} = left( {frac{{overline{{Delta RT_{x} }} }}{{c_{Delta RT} }},frac{{overline{{Delta m/z_{x} }} }}{{c_{Delta m/z} }}} right) (15)of each series, respectively.
To perform the RF analyses we used the scaled mean decrease in prediction accuracy.
At the lower right panel the mean PSTH for TONE stimulation (filled black bars) and a scaled mean PSTH for LIGHT stimulation (red line) are overlaid (D ).
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Quantiles of the scaled mean-squared error of prediction are obtained on concentric surfaces inside a region of interest, R. For a given design, these quantiles depend on the model's parameters.
In order to reflect the size of the spatial support, we apply a weighting factor, α s, given by Equation 12 and obtain the scaled mean-standard deviation feature vector, F μσ, given by Equation 13.
The variables were scaled, mean-centered and, when appropriate, logarithmically transformed before subjected to PLS modelling.
In this work, we firstly apply the scaled Mean-Hitting-Time in ranking candidate disease-causing genes based on the phenotype-gene heterogeneous network.
The Mean-Hitting-Time include all the router information between the node a and set B. We define the closeness measure between node a and set B by the scaled Mean-Hitting-Time (MHT) with the maximal value for all nodes a' on the network, (2) Here can be inconveniently large in actual calculation, so we scale it to ensure the range of MHT is between 0 and 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com