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In the case where the negative spectrum is finite, estimates were first obtained for the sums of the powers of absolute values of the negative eigenvalues.
By increasing the time between sampling periods to four generations, their simulations suggested that the same sample size would produce accurate estimates for Ne of 10,000; however, by decreasing the sample size to 1,000 individuals, their ability to obtain finite estimates dropped from 100% to 65% [128].
LDNe produced finite estimates in less than half the samples.
Hence we advise fitting the model for multiple distribution choices, to identify which may provide finite estimates of abundance.
The occurrence of large finite estimates of is similar to analogous findings of Wang and Lindsay (2005) in the context of species richness estimation.
We see that large finite estimates of abundance can arise, in particular where the number of sampling occasions T is small.
Similar(54)
The Grassberger Procaccia algorithm yields a non-zero but finite estimate of the K 2-entropy (K 2 = 5.2 10−3 ns−1) with a corresponding correlation dimension D 2 ≈ 2.04.
Given that steady state groundwater flow conditions arise as a long time asymptotic limit of a particular transient response, it is natural for us to seek a finite estimate of the amount of time required for a particular transient flow problem to effectively reach steady state.
Hence for this dataset a finite estimate of mean abundance can be obtained for the Poisson but not for the negative-binomial.
Therefore, we used the mean of the finite Ne estimates as an estimate of metapopulation Ne for each estimator.
It is shown that the quick Voigt (constant strain) orientation averaging procedure gives excellent viscoelastic stiffness predictions provided that the finite element estimates are used for the required moduli of the basis FOD state with fully aligned fibers.
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