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Absolute error of samples: varepsilon^{left( 0 right)} left( k right) = x^{left( 0 right)} left( k right) - hat{x}^{left( 0 right)} (k).
Let E p = Y − ∑ j ≠ p P d ~ j x ~ R j indicate the representation error of samples after removing the p th atom, and let x ~ R p denote the p th row in X ~. ∥ Y − D ~ X ~ ∥ = ∥ Y − ∑ j = 1 P d ~ j x ~ R j ∥ F 2 = ∥ Y − ∑ j ≠ k P d ~ j x ~ R j − d ~ p x ~ R p ∥ F 2 = ∥ E p − d ~ p x ~ R p ∥ F 2 (13).
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The truncation error of sampling is also analyzed.
Here (partial_{text{i}}) represents the training error of sample (m_{i}).
The bigger the fitting error of sample data is, the smaller the weight value of the sample data.
The error of sample reconstruction is minimized.
Generally, the measurement error would be smaller than the statistical error of sampling at a large sample size.
And two recent newsroom-wide initiatives calling for publication of the margin of error on sample-based surveys haven't yet produced any change.
Among the various types of error that must be taken into account are errors of observation (which include instrumental errors, personal errors, systematic errors, and random errors), errors of sampling, and direct and indirect errors (in which one erroneous measurement is used in computing other measurements).
Encompassing the sampling error of the sampling weight, our R bootstrap run yielded an RR of 2.4 (95% CI,.26 6.9).
Ion balance error of the samples was observed below 5%%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com