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In reality, the data is imprecise due to measurement errors, the prior knowledge is only approximately known, etc.
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The data are imprecise; they also reflect outsourcing of services by manufacturers.
Satellite data are imprecise, notes glaciologist Ted Scambos of the National Snow and Ice Data Center in Boulder, Colorado.
On the other hand, usually in real problems, the data are imprecise.
In this paper, we extend one-way ANOVA to a case where observed data are imprecise numbers rather than real numbers.
In this paper, we restrict our attention to this hybrid decision-making problem, where the input data are imprecise and described by fuzzy random variables.
Nevertheless, we were not able to account for subjective annoyance because diary data were imprecise.
Furthermore, no adjustment could be made for a history of cancer in our analyses because these data were imprecise.
Of some concern is that the predictions of 24-h CL from 4-h CL data were imprecise (R = 0.738).
A small caveat of the prognostic and the interval methods is that when the input data are imprecise (as shown in Examples 3 and 4), we may obtain worse results than that from the traditional method for incomplete information.
This is because when some input data are imprecise, the prognostic method will get wrong predictions for missing SEMs, hence obtain worse meta-analysis results whilst the traditional method for incomplete trial information simply abandons trials with incomplete information, avoiding any wrong predictions and therefore may obtain better results.
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