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But bad data are not the only thing that can ruin a drug's prospects.
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Plagiarism and bad data are a major problem, and China has only begun to address it.
It is worth noting that, in order to avoid the computation of the residual covariance matrix when bad data are not present, the bad data detection can be also implemented by using the well-known χ 2 test [15].
The number of incidences of ambiguous assignment and superfluous signals for good, average, poor and bad data are < 5, 5-10, 11-20 and > 20 ppm, respectively.
The number of incidences of ambiguous assignment and superfluous signals for good, average, poor and bad data are < 5, 5-10, 11-20 and > 20, respectively.
"This is definitely a situation where bad data is worse than no data," King said.
A line has been drawn between those who say, "even bad data is better than no data," and those who say, "Have you no shame?" Arne Duncan, the federal education secretary, has been a dependable advocate for naming names.
Economies rarely move in a straight line, and — as the better-than-expected numbers on Tuesday on vehicle sales suggested — the recent run of bad data is probably overstating the troubles.
Once bad data is identified, the state estimation is reformulated with the bad data removed, and solved again until there is no bad data present.
If anything, he said at a recent industry conference, "when you get all the data in one place, you discover what's wrong, where the bad data is".
Data can make or break a trading/investment system and selecting, cleaning, and filtering out bad data is the key stage in the development cycle, which will be important for risk management in Stage 4 as well.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com