Exact(5)
Furthermore, it has been estimated that when a target sample reaches ~ 2000 cases there should be sufficient power to detect a variance that is different from zero [7, 8].
Regarding the variance of the estimators, it can be shown that the optimal combining technique has a variance that is approximately equal to the CRLB at high SNRs (in fact, this is the main reason why this combining technique is called optimal).
FPN has a variance that is quadratic in the image irradiance (mainly caused by variations by variations in the gain factor α j, see [36]), but also contributes to the overall noise that is independent of the image irradiance (as an offset term).
Although many datasets have a variance that is intensity-dependent [ 12, 15, 21- 26], some studies have analyzed datasets whose variance characteristics are not strongly intensity-dependent (e.g., [ 35]).
If we make the training size as large as possible (such as LOOCV), it would be nearly unbiased, but the effective sample size left for validation is one subject and we would get a variance that is unduly large, that is, the notorious bias variance dilemma.
Similar(55)
For comparisons between two groups, unpaired student's t-test was used if the variance was normally distributed; Mann-Whitney U test was used for comparisons with a variance that was not normally distributed.
Indeed, few previously unnamed genes approximated the ideal endogenous reference gene by being expressed consistently in more than 95% of the specimens analyzed within a variance that was barely and insignificantly different from what could be expected from intrinsic experimental fluctuation (Table 1).
"If the B.Z.A. grants them a variance, that's fine with me.
Exhibits mean reversion in that it fluctuates around a constant long-run mean; Has a finite variance that is time-invariant; Has a theoretical correlogram that diminishes as the lag length increases.
A time series is stationarity when it has the following three characteristics: Exhibits mean reversion in that it fluctuates around a constant long-run mean; Has a finite variance that is time-invariant; Has a theoretical correlogram that diminishes as the lag length increases.
Linacre notes that a result with an explained variance that is greater than 60% with an accompanying unexplained variance of less than 5% in the 1st contrast as a model that provides a suitable Rasch explanation of the data.
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