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The standard plug-in rule estimates the discriminant from a feature-label sample to obtain an estimate of the discriminant by replacing the means and covariance matrices by their respective sample means and sample covariance matrices.
Sample means and sample standard deviations were used on estimated coefficients of variation δ ̂.
The Monte Carlo computation was carried out by drawing simulated training data sets of the required sample size from the probability model in each case, and employing sample means and sample variances to approximate the performance metrics in Section 4. The probability model used here is a parametric Zipf model [16].
Table 1 shows the means and sample standard deviations for answers to questions relating to career satisfaction, emotional states and perceived levels of job stress.
Other assumptions, such as that sample means and sample variances must be statistically independent, can be compensated when the sample is moderately large or larger, which is always the case for HCS.
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Let us now define the sample means and the sample variances of the received samples, which will be used in the rest of the paper.
Different values xi from the corresponding intervals lead, in general, to different values of the sample mean and sample variance.
This principle is violated by the conventional fitting of normal or lognormal distributions using sample mean and sample variance.
The synthetic dataset without differential gene expression was generated gene by gene as normal variates with mean and variance equal, respectively, to the sample mean and sample variance of the expression levels for each gene, as detected from the real E. crypticus dataset after SVCD normalization.
Calculate sample mean and sample variance of the values in throughput vector. 5.
However, similarly to sample mean and sample variance, the standard EPE approach is non-robust towards outliers [21 23].
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