Based on performance indicators such the mean squared errors, fractional variance, index of agreement and coefficient of determination (R2), the BPANN model demonstrated significant performance with R2 reaching 87%.
If the new method includes statistical hypothesis testing, size and power of the test are typically evaluated; if it is a method for parameter estimation, the criteria of interest are the absolute or relative bias, the mean squared error, the variance of estimation, and the coverage of the proposed confidence intervals [ 1– 3].
The hope is that the total mean squared error (bias squared + variance) is lower than uncorrected estimate.
The utility of RW based methods comes from the fact that for any initial distribution (nu,) as time progresses, the sample distribution of the RW at time t starts to resemble a fixed distribution, which we call the stationary distribution of the RW, denoted by (pi.) We will study mean squared error and asymptotic variance of random walk based estimators in this paper.
Size(x), MSR x) and RVAR x) denotes the size, mean squared residue and row variance of bicluster encoded by the frog × respectively.
Contains a table with the IRT and CTT-based mean squared errors for the variance estimates of the structural model resulting from all different condition of the simulation study.
Random variation of the actual ambient temperature about the set point value will inflate the variance or mean squared error but will not bias the estimates.
The choice of RDS for comparison is motivated by the results shown in the previous section that it outperforms other sampling schemes considered in this paper so far, in terms of asymptotic variance and mean squared error.
However, caution is advised as bias correction might inflate the variance and mean squared error of an estimate [ 10].
Table 2 shows the number of genes and conditions, the mean squared residue and the row variance of ten biclusters out of the one hundred biclusters found on the human dataset.
