Sentence examples for may misrepresent from inspiring English sources

In either type of program families may misrepresent their incomes or not have a precise accounting of their income.

Considering that the open-circuit potential (OCP) varies from electrode to electrode, the photocurrent comparison at a fixed potential may misrepresent the actual differences between samples.

Large databases that rely on administrative data, such as International Classification of Diseases, Ninth Revision (ICD-9) codes, may misrepresent patient information and could thus affect the results of studies that use these data.

Moreover, reliance on log-likelihood based goodness-of-fit measures, such as ρ 2 (rho) and Information Criterion, to assess the performance of alternative experimental designs may misrepresent the value of any given design in estimating the preferences of respondents.

This article provides a review of guidelines, such as NCCN and ANN, used for the management of prostate cancer and suggests that group-level recommendations based on these algorithms or other decision trees may misrepresent individual patient preferences for treatment.

I find that the inverse relationship between risk aversion and cognitive ability is not robust and that high-ability subjects may misrepresent their preferences when they face hypothetical choices.

However, fault-tolerance does not guarantee that each working machine will be completely accountable; when nodes are malicious, they may intentionally misrepresent the processing result during mapping or reducing, and they may thus make the final results inaccurate and untrustworthy.

The authors wrote: "Thus, current indoor climate standards may intrinsically misrepresent thermal demand of the female and senior sub-populations".

The results of the simulations indicate that current strength characterization and design approaches (that assume a rectangular bearing stress block) may grossly misrepresent the stress distribution under the plate.

This approach may therefore misrepresent the true accuracy of the land cover product, as well as the accuracy of the validation data, which is not assumed to be without error.

If the assumption is false, the study findings may substantially misrepresent the likelihood of the outcome in the study population.