In standard theory, individuals are assumed to form reservation wages in a rational manner incorporating unbiased expectations of market wages and an accurate assessment of the market value of their skills.
Although the accuracy of estimates of total genetic values was not greater than that of estimates of breeding values, as indicated by the cross-validation results (Table 4), expected total genetic superiority was not impaired by this result because predicted genetic values are best linear unbiased predictions and therefore unbiased expectations [ 34].
n, sample size; AR, allelic richness or number of alleles corrected for a minimum sample size of 76 diploid individuals; HE, unbiased expected heterozygosity; HWE, goodness-of-fit to Hardy-Weinberg Equilibrium expectations.
Alloyed gold standards are used instead which are considered to be accurate depictions of the truth, being unbiased in expectation.
However, that study was limited to identifying water sites based on radial and angular distribution functions around expected H-binding atoms in the protein, while our identification was unbiased by prior expectations and identified all sites with high water density regardless of their position relative to any hydrogen bonding partners in the protein.
The unbiased position specific expectation deviation scoring matrix was expanded into a hyper-dimensional vector representation, and the Euclidean distances between vectors was computed.
It is also important to note that our cutoffs and groupings of enriched and highly enriched proteins have been completely unbiased regarding an expectation of palmitoylation.
By standard theory for linear models [26], Ŷ is an unbiased estimator of the expectation of Y and there is an unbiased estimator of the variance covariance matrix of the parameter estimates, and an unbiased estimate V ^ Y ^ of V, the variance of Ŷ.
By standard theory for linear models [ 26], Ŷ is an unbiased estimator of the expectation of Y and there is an unbiased estimator of the variance covariance matrix of the parameter estimates, and an unbiased estimate V ^ Y ^ of V, the variance of Ŷ.
In fact, the average over a set of realization is an unbiased estimator of the mathematical expectation of a RV.
For instance, Renn (1995) argues that 'scientists acting under the expectation of providing unbiased, comprehensive and unambiguous advice often fall prey to the temptation to over-sell their expertise and provide recommendations far beyond the realm of knowledge'.
