Sentence examples for variance rule from inspiring English sources
In the second step, after considering the characteristics of HVS and the physical meaning of the wavelet coefficients, the coefficients of the low-frequency band and high-frequency bands are performed with different fusion strategies: the former is selected using a maximum visibility scheme, and the latter is selected by a maximum local variance rule.
Using the well-known variance propagation rule, V A) = V B(E(A| B)) + E B(V(A| B)), we may now simply re-estimate the unconditional, prior variance by (3) τ ^ 2 = V ^ (m i k ) + v ¯ i k, where V ^ is the sample variance estimator.
The variance in rules made it difficult for public schoolboys entering university to continue playing except with former schoolmates.
Dr. Shaz says people with hemochromatosis are eligible to donate blood for transfusion if they otherwise meet Food and Drug Administration eligibility requirements and if the blood center has an F.D.A. variance from rules about labeling the blood as coming from a donor with hemochromatosis.
Potential sources of error variance were ruled out by examination of the degree of error variance across categories of ORFs using the full dataset [ 16] rather than the subsets in Figure 2.
Robins and Wang (2000) also give a formula for the asymptotic bias of the Rubin's rules variance estimator when M=∞.
In their research, two priority rules, variance method and variance mean method were developed.
The only variances to this rule typically comes from the retailer - sellers that do low volume turnover or are haphazard may damage the cheese with improper handling or storage, but if you buy from a reputable, knowledgeable store or cheese monger you get a little bit of heaven on a plate.
In both, the Rubin's rules variance estimator was approximately unbiased.
The expression derived for the asymptotic bias in the Rubin's rules variance estimator for IPW/MI was complicated and did not reduce to zero.
We used this to show that, in the case of linear regression with MI of a missing outcome, the Rubin's rules variance estimator for IPW/MI is consistent when M=∞.
