Sentence examples for biased down from inspiring English sources

Rates are going to be biased down because of supply conditions, she says.

Either 5.1% is an inaccurate estimate of the "natural rate" -- which is actually lower than that -- or the reported jobless rate is biased down by some of the factors noted above.

As I show in Appendix 1, if wages follow a lagged dependent variable structure, estimates of a misspecified model that assumes a first-differenced/fixed-effects structure will be biased down.

On the other hand, if the performance is assessed using the very same data that are used for developing the classifier, this obviously leads to a biased down estimate of classification error.

In addition, the estimate of ancestral population sizes probably reflects post-divergence condition, resulting in biased down-estimate, for dynamics within the ancestral populations such as contractions or extinctions are not counted in IMa [ 85].

Trump has made a series of controversial remarks including stating that the Mexican heritage of Gonzalo Curiel, a federal judge hearing a lawsuit against the presumptive nominee, meant that Curiel was biased, and doubled down on his calls for a ban on Muslims entering the country, in the aftermath of the mass shooting in Orlando.

"Coverage was dumbed down, biased, and dense — people couldn't relate to it and couldn't find value in it," Dharmakumar added.

However, since Recovery Act resources may have gone to those states which were ready to start investments and support contracts, or by contrast the federal government may have distributed entitlements to those places that needed them the most, the Feyrer and Sacerdote (2011) multiplier may be biased up or down.

An additional way in which estimates of R may be biased up or down lies in the choice of estimation procedure itself.

Please join us for a highly subjective, totally biased walk down memory lane for the Naughty and Nice fashion and fads of 2008!

The different applied inputs represent a robustness check of the network dynamics against uncertainties in the data and can also be interpreted as different situations in the awake state, for example, biased toward top-down versus bottom-up inputs.