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Note that these requirements practically coincide with requirements to accuracy of pure additive or pure multiplicative noise variance estimation [17] - an estimate has to differ from a true value by less than 20%.
Here the estimate has to be defined such that the L1 error of the estimate (with integration with respect to a fixed but unknown probability measure) is small.
Knowing that actual intracranial volume (ICV) explains 16% of the variance of hippocampal volume, an ICV estimate has to explain (1 0.01/0.16)*100 = 93.75% of that variance to reduce it to 1%%.
However, in our problem, the accuracy of the NLLS is limited by the sparse measurements, and thus the NLLS can only be used as an initial guess and a more accurate estimate has to be achieved in the following SCA process.
Hence, our estimate has to be verified by means of water and electrolyte balance measurement in vivo.
Note that the case M=2 is special in that a closed-form expression exists whereas for M>2 the ML estimate has to be found iteratively.
Similar(48)
Consequently, the number of block estimates has to be very low elsewhere.
Numerical results show that only a moderate number of reliability estimates has to be performed during the entire design process.
Default probability estimates have to change by two notches before the rating agency reacts.
After selection of an appropriate process model structure, parameter estimates have to be obtained based on real-life experiments.
After selecting an appropriate process model structure, parameter estimates have to be obtained based on real-life experiments.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com