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In parallel to the univariate setting, the distribution of λ ~ ∗ 1 can be approximated with a Satterthwaite approximation: λ ~ ∗ 1 ν ∗ / λ ∗ 1 ∼ χ 2 ν ∗ with ν ∗ = b ν est · ∊ ^ d / ∊ ~ n.
However, DalkS can be approximated with a constant factor.
In the context of neutral theory, the change could be approximated with a diffusion process.
When N is large enough, the binomial random variables can be approximated with a Gaussian distribution.
Such periodical variation of the peak could be approximated with a sine curve.
The former can be approximated with a variety of techniques including numerical integration and asymptotic formulas.
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Any probability density function (PDF) can be approximated with an MTE potential, which can always be marginalized in closed form.
The first validation rule is based on the assumption that a generic brushstroke can be approximated with an elliptical shape.
The number of sampling points can be approximated with an upper bound or increased on the fly should a peer be unable to interpolate a polynomial.
The optimal IBO that minimizes the BER can be bounded by the proposed expressions when the relay-destination channel is flat in frequency and it can be approximated with an acceptable error for frequency-selective channels.
Popularly, the OCP is approximated with a finite-dimensional nonlinear program (NLP).
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