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From the invariance property of maximum likelihood estimators, we can obtain maximum likelihood estimators for functions of (mu), (sigma) and p. For (phi =g(mu,sigma,p)), a one-to-one function of (mu), (sigma), and p, and we have (hat{phi }=g(hat{mu },hat{sigma },hat{p})).
Thus, by the invariance property of maximum likelihood estimators (see e.g. p. 105 of van den Bos [11]), it is the maximum likelihood estimator for the incidence.
Activated ribosomes within an organism will therefore be expected to display a property of maximum specific translation activity, T a (max), under optimal conditions of reactant availability.
One important property of maximum margin is that the error rate, when generalized to all the data points from the sample space, is mathematically bounded.
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The fibers containing 30% PANi (PLC L/PANi-30 maintained elastic properties of maximum elongation at break (160 ± 14.4%).
The Latin title translates as a method for finding curved lines enjoying properties of maximum or minimum, or solution of isoperimetric problems in the broadest accepted sense.
Theory suggests that estimates from this methodology will have all the desirable properties of maximum likelihood estimation.
Based on the statistical property of the maximum likelihood estimation μ* and σ*2, we can approximately recognize μ* as the RSS fingerprint at each RP.
In fact the reason we were able to take the anti-logarithm (using exponential) to get back to the natural scale for the location quotients from the logarithmic scale was due to the invariance property of the maximum likelihood estimates.
Inferences will be based on the asymptotic properties of the maximum likelihood estimator.
In view of Corollary 1, we need to study the properties of the maximum signal strength as well as the joint distribution of and.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com