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This paper is organized as follows: section 'Method' describes each step of our technique in detail.
The common annotations method describes each cluster by listing the top-3 most frequent annotations assigned to at least two experiments in the cluster.
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In addition, the standard deviation for each data series was also determined to conclude how well each method describes the fatigue strength of each welded detail.
Sets of parameter estimates were obtained by the maximum-likelihood method described above for each of 1,000 bootstrap samples and the central 950 of the estimates of each parameter were used to define its 95% confidence interval.
To apply the method described above to each harvest scenario, we first calculated the 2008 2012 average C inflow (e.g., the C inflow of the last five years) and then we applied a constant, increasing (+20%) and decreasing (−20%) variation rate to this average, according to each harvest scenario.
This section first gives an overview of the proposed method, and then describes each important step of the method in details.
The specific methods and research processes are as follows: 1) After the screening method described above, we obtain each stock's monthly closing price by backing to the right.
Using a paired difference t test methodology on the absolute errors of each method, described in detail below, we find that the differences between this consensus predictor and 13 of the 17 human experts are statistically significant at the 5% level.
First, we employed the SNP selection method described in [8]: For each SNP, a generalized linear model (GLM) of the probability of cancer was fit using as predictor variables the SNP and two other variables: family history of esophageal cancer and alcohol consumption.
Table 1 presents the equation of each method described below.
Figure 2 gives examples of the results of each method described in ordinary language.
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CEO of Professional Science Editing for Scientists @ prosciediting.com