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The challenge is to bridge the gap between a serious estimation of impacts and a reasonable effort of data collection for those who apply for funding.
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When lot sizes are finite, statistical approximations may lead to serious estimation errors.
Two important practical limitations of these designs are (1) the lack of replicate points from which experimental error might be directly assessed, and (2) the potential for serious estimation bias if interactions among the experimental factors are present.
Because these approaches are either time-consuming or leading to serious estimation errors, more advanced missing value imputation methods are needed to solve the missing value problems.
Such a policy reflects a serious over-estimation of the contribution of oil to ISIS income, which actually relies far more on confiscation and taxation.
We do not expect that there was a serious under-estimation of scorpion species richness at EC because sampling by means of the UV method did not add additional scorpion species and the EC/Israel proportion in scorpion species richness is higher than that in many other studied invertebrate taxa.
Failure to take account of such assessment errors in power analyses at the design stage of a study may lead to a serious over-estimation of its true statistical power and result in a research platform that is critically underpowered when it comes to analysis.
For example, the matrix condition number varied between 14.1 and 14.9, and determinants were less than 10−5 suggesting a serious potential of amplified estimation errors when inverting a covariance matrix [50, 51].
Studies have been conducted to know whether this should be considered a serious problem for the estimation of exposure-risk relationships.
For example, the matrix condition number varied between 14.1 and 14.9, and determinants were less than 10−5 suggesting a serious potential of amplified estimation errors when inverting a covariance matrix [ 50, 51].
As is demonstrated below, the use of the "fevers" data does not pose a serious problem for the estimation of the timing of peak influenza-attributable mortality in the districts because of the sheer number of deaths from the pandemic.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com