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Modern microarray, digital PCR (dPCR), and Next-Generation Sequencing (NGS) technologies frequently provide a means of coefficient of variation estimation for individual measurements.
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(2) Variance of coefficients at each level, i.e., where μ is a mean of each coefficient at level i. (3) Median absolute deviation (MAD) of coefficients at each level i, i.e. mad(i) = median|(d i - median(d i ))|, where d i is detail ceofficient at level i.
The CRP method also provides a means of identifying the coefficients of any nonlinear terms which can be specified a priori in the candidate equations of motion.
RR was originally proposed as a means of estimating regression coefficients with smaller mean-square error than their least squares counterparts when predictors are correlated [Hoerl and Kennard, 1970].
Regression lines are supported by equations y = A z) x + B up) where A is a mean of regression coefficient and z its standard deviation; B an intercept and up its standard deviation.
That stands for something called the Gini coefficient, a means of measuring inequalities in distribution of statistical results.
A low correlation coefficient means, of course, that the markets do not move in tandem.
Species varied from 23 to 39 per transect with a mean of 29.6 and coefficient of variation 17.9% (Table 1).
The coefficients of variation ranged between 3%and9%9%, with a mean coefficient of variation of 6%.
Two datasets of 9 microarrays each were compared giving a mean coefficient of variation of 34 ± 0.1% for the arrays that passed QC and 43 ± 0.1% for the arrays that failed QC.
Lauritzen et al. [ 11] found a mean coefficient of variation of swept visual evoked potential (SWEEP-VEP) amplitudes of 16 ± 7% among seven healthy adults at 80% contrast.
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