| 1. | The following error estimate shows that linear interpolation is not very precise.
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| 2. | Adaptive stepsize methods that use a so-called'embedded'error estimate include the Dormand Prince methods.
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| 3. | This is an essential step in error estimates for the finite element method.
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| 4. | The error estimate for a function of regularity r is:
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| 5. | The error estimate is used to correct the internal model.
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| 6. | The result and its error estimate are based on a weighted average of independent samples.
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| 7. | The internal model's estimate is also compared to the produced sound to generate an error estimate.
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| 8. | Compare the true standard error of the mean to the standard error estimated using this sample.
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| 9. | It can also be used to provide error estimates for the parameters describing an evolutionary tree.
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| 10. | These methods are considered to be more computationally efficient, but have lower accuracy in their error estimates.
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