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As the sample size becomes large, the overall asymptotic pattern of the PC plot quickly forms.
We then study the asymptotic behavior of the patterns of the PC scatter plot as the sample size becomes large.
Finally, we note that as the sample size becomes large, we expect the choice of prior probability distribution to have a negligible effect on the resulting estimates [ 37].
Although this method is simplistic and ignores much of the data, it is statistically consistent under our RNA-Seq model, with JR estimates converging to true parameter values as the sample size becomes large.
We hypothesize that sampling more individuals than examined in this study would increase the power of our method, though gains may diminish as the total sample size becomes large.
Because a finite number of characters is used to calculate f, the values for f should be distributed around this expected value binomially; this converges to a normal distribution when the sample size becomes large.
Similar(54)
The t values will always be larger, leading to wider confidence intervals, but, as the sample size becomes larger, the t values get closer to the corresponding values from a normal distribution.
Based on the present results, the concept of a universal attention-related set of cortical areas if restricted to common areas across subjects is challenged, since even area 7 may no longer be common when the sample size becomes larger.
However, as the sample size becomes larger, more SNPs will pass the significance threshold and there will be adequate SNPs for stable parameter estimates even if the SNPs are pruned prior to analysis.
When the variables are independently distributed (panels A, E and I), the bias becomes smaller as the sample size becomes larger (closer to zero; panel A).
Using the developed formulation, we have shown that there exists an asymptotic pattern on the PC plot as the sample size become large.
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