Sentence examples for exact variance from inspiring English sources

Exact(8)

Accuracy of the exact variance expression exceeds that of a previously published asymptotic expression.

This truncation causes that the associated variance is just an approximation of the exact variance in (11).

72, 382 386] urn randomization model, and develop a non recursive, exact variance expression, with extensions for K colors, and M N randomization.

It should be noted that the D estimator is theoretically simpler than the GREG estimator, based on the fact that it is unbiased with an exact variance expression.

The parameter ν can be found by using Goodman's formula for the exact variance of (Vleft( {hat{y}_{i} {kern 1pt} e_{i}^ right)) [72].

Thus, by multiplying the inverse of norm of the ZF filter coefficient 1 / W i H 2 to the estimated symbol x i ̂, the exact variance of colored noise affected to soft-bit information is reflected on the channel decoder, delivering enhanced channel decoding performance.

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Similar(52)

For large pedigrees with many missing markers, however, it is not feasible to calculate the exact gametic variance covariance matrix required to construct HMME.

Response to selection by MABLUP using Method A or Method B were compared with that obtained by MABLUP using the exact genetic variance covariance matrix, which was estimated using 15 000 samples from the conditional distribution of genotypic values given the observed marker data.

Importantly, regardless of whether our model over- or under-estimates the exact posterior variance about the network, we find points in the latent variable space that are both predictive and parsimonious, largely agreeing with the human anatomists and predicting existing connections.

However, as the exact trend variance is unknown it is also estimated using the raw sensor signal: (11) σ ^ trend, k i 2 = 0.01 · σ ^ resp, k i 2 (12) σ ^ resp, k i = std l i, Δ, with σ ^ resp, k i as standard deviation estimation of the respiration using the long-term segment l i, Δ over the last 20 s (approx. 1900 samples).

The CIR model is a minimal model that has a stationary distribution with exact mean and variance [34, 35].

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