Quadratic discriminant analysis is a statistic method used to predict group membership based on a linear combination of variables without assuming that the covariance of each variable is identical.
In addition, a statistic method is used to establish discrete probability distribution model, which reflects the regularity of wind power forecasting errors.
Various methods based on topology have been used [23], [24] but in its current implementation, Velvet only relies on contig coverage values, using a statistic derived from the A-statistic [25].
The analytical BER curves are obtained directly from (31) and (35), and the values for parameters η and ρ in (31) and (35) are obtained using the statistic method similar to the one described above.
The web tool is based on our previous ChIPMotifs program which is a de novo motif finding tool developed for ChIP-based high-throughput data and incorporated various ab initio motif discovery tools such as MEME, MaMF, Weeder and optimized the significance of the detected motifs by using a bootstrap resampling statistic method and a Fisher test.
Therefore, we used a non-parametric statistic method when we analyzed the data to avoid a statistical error.
The watermark detection is carried out on the received signal by using a standard detection statistic method rho=frac{1}{L}boldsymbol{z}^{T}boldsymbol{u} (2).
We defined differentially-expressed genes by calculating P values between any two libraries using a previously reported statistic method [ 28]; the process yielded 1,751 (8.5%) and 1,216 (5.9%) significant differentially-expressed genes with P values of < 0.05 and < 0.01, respectively (Table 4).
The data is analyzed using Non-parametric Statistic Method, that is the Mann-Whitney U-Test.
Using the gap statistic method and plot, we examined k = 3 and k = 8 further.
