作者: R. Schenck , P. Henriksson , J. Guinée , D. Huizen
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摘要: As part of an evaluation European seafood imports from Asia, overall dispersions were determined for a wide range processes. Once propagated into LCI results using Monte Carlo (MC) simulations, large absolute uncertainties around made conclusions difficult to reach. In response, the reevaluated, only considering relative related different hypotheses. This approach allowed more than one products under study be assumed same, producing correlated samples. These could, in turn, tested paired T-tests which allow greater statistical power. Greater power means that resolution comparisons is improved and risk reaching flawed reduced. Among other bias results, present research presents many contending arguments comparing LCA terms.