<span class="searchmatch">bias</span>-<span class="searchmatch">robustness</span> (uncountable) The condition of being <span class="searchmatch">bias</span>-<span class="searchmatch">robust</span>....
<span class="searchmatch">bias</span>-<span class="searchmatch">robust</span> (comparative more <span class="searchmatch">bias</span>-<span class="searchmatch">robust</span>, superlative most <span class="searchmatch">bias</span>-<span class="searchmatch">robust</span>) Pertaining to statistics that are relatively unbiased even when some assumptions...
this was due in no small measure to the <span class="searchmatch">robustness</span> of the buckeye couplings fitted to the coaches. <span class="searchmatch">bias</span>-<span class="searchmatch">robustness</span> quality of being <span class="searchmatch">robust</span> subtensors...
biasable <span class="searchmatch">bias</span> binding <span class="searchmatch">bias</span> distortion <span class="searchmatch">biasness</span> <span class="searchmatch">bias</span>-ply <span class="searchmatch">bias</span>-<span class="searchmatch">robust</span> <span class="searchmatch">bias</span> tape biaswise brake <span class="searchmatch">bias</span> Chebyshev's <span class="searchmatch">bias</span> cognitive <span class="searchmatch">bias</span> confirmation <span class="searchmatch">bias</span> debias...
gracile. <span class="searchmatch">bias</span>-<span class="searchmatch">robust</span> heterokurtosis-<span class="searchmatch">robust</span> heteroscedasticity-<span class="searchmatch">robust</span> <span class="searchmatch">robust</span> association of massive baryonic objects <span class="searchmatch">robust</span> australopithecine <span class="searchmatch">robust</span> blacksmelt...
right-skewed variable, were log-transformed to help <span class="searchmatch">robustize</span> inference, and also, importantly, to avoid a few large observations from <span class="searchmatch">biasing</span> results....
training programs, that will reduce it. The second claims that the <span class="searchmatch">bias</span> is not very <span class="searchmatch">robust</span> and important and concentrates on devising experimental situations...
the distributionalist approach to language is, however, its antisemantic <span class="searchmatch">bias</span>, typical especially of Harris but going back to scholars like B. Bloch, G...