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To estimate the CDR, we use the estimator proposed in [33], which is based on the short-term complex coherence between two microphone signals.
In this case, it is convenient to use the estimator given by Bai and Ng (2004).6 Other alternatives to estimate the common factors without differencing them are given by Barigozzi et al.
We use the estimator I ( ERR ) to decide about the refinement of the elements { Ω i } i = 1 ν.
In another framework, Fried and Gather (2005) use the estimator (widehat{rho }_{Q}(1)) and also state that such constants cancel out.
In order to estimate the PDF parts of quasi non-stationary RV, one can easily use the estimator developed in the previous section to detect the number and the size of the stationary parts.
The data custodian can use the estimator with only the disclosed data set to assess re-identification risk.
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Now the data custodian can use the estimators and decision rule described in this paper to measure the actual uniqueness from the data using the selected quasi-identifiers.
We wanted to use the estimators on a population where we already knew (or at least had a very good approximation of) the size from other sources.
(2) By using the estimator described in Section 3, the estimate is calculated from the neighboring points of within radius.
Similarly, estimates of α using the estimator proposed by Fay et al. (2001) are 50 70% in D. melanogaster and, again, somewhat higher in D. simulans.
The level of genetic variation among populations was estimated by computing FST values using the estimator of Weir and Cockerham (1984).
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