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The impurities in the model compounds could be verified by comparison with data from pure standards of the model compounds.
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The standard error of the model was lower than the standard deviation of the average dose under the lead apron (0.11).
can be seen to be true in all and only non-standard models of arithmetic, by letting xx be all and only the non-standard elements of the model.
The standard error of the model was less than 0.03.
The standard deviation of the model error was around 6 dB for the best model.
For neural nets, they are summarized as the mean and standard deviation of the model accuracy.
The overall mean ± standard deviation of the model residuals are summarized by year group.
Bootstrap standard errors of the model parameter estimates were obtained using 3,000 bootstrap samples.
The standard scenario of the model, based on rainfall for the period 1940 200000, led to stable population dynamics.
Second, standard errors of the model parameters can be obtained from posterior distributions without the need for asymptotic theory.
Empirical means (and their standard errors) of the model parameter estimates under the T2 and HAPim methods.
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