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The phrase "attributes of an estimator" is correct and usable in written English.
You can use it in contexts related to statistics or data analysis when discussing the characteristics or properties of an estimator.
Example: "When evaluating the performance of different statistical models, it is essential to consider the attributes of an estimator, such as bias and variance."
Alternatives: "characteristics of an estimator" or "properties of an estimator".
Exact(1)
To avoid the above drawback, the error spectrum is applied to represent more attributes of an estimator in that it is an aggregation of many incomprehensive measures.
Similar(59)
Indeed, bootstrapping techniques are generally used in order to assess the accuracy of an estimator.
Consistency of an estimator.
The MSE is equal to the sum of the variance of an estimator and the square of the bias of the estimator (33).
Seven Attributes of a Winning Hire.
A region is attributed to a given estimator when this estimator shows lower MSE for all the couples (N, (dot {theta })) in this region.
Robins and Wang (2000) derive a general formula for the asymptotic variance of an MI estimator based on a complete-data estimator solving a set of estimating equations.
We also changed the description "an estimator of selection" into "Ka as an estimator of evolutionary rate".
where d ( Y ) is an estimator of g.
This method uses Kernel Density Estimator (KDE) as an estimator of PDF.
The leave-one-out estimator is nearly unbiased as an estimator of.
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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