Sentence examples for the variance exactly from inspiring English sources

Exact(2)

In fact only those Runge-Kutta methods that have a stability function given by (25) can preserve the variance exactly for linear problems.

In fact, the value of our approximation(s) is in giving a method for estimating the mean and the variance exactly when there is no indication of the underlying distribution of the data.

Similar(58)

On the other hand, the trapezoidal tau method which estimates the asymptotic variance exactly for linear systems suffers from the fact that the transients of the method do not decay fast enough in the context of very stiff systems.

From Table 2, it can be seen that the components F1 and F2 cumulate more than 80% of total variance (exactly 80.337%), which leads us to interpret only the two first components F1 and F2.

To our knowledge, the two frequentist methods proposed in this paper are the only methods currently available that provide confidence intervals for the residual variance with exactly the nominal coverage probability under the random effects model for meta-regression.

We compute exactly the variance of linear estimators constructed upon these designs by using the first and second order inclusion probabilities.

This indicates that ( {widehat{sigma}}_{Ri}^2 ) is not exactly the variance of approximated Gaussian distribution of ( {widehat{boldsymbol{n}}}_{Ri}={sigma}_{Ri}^2+{P}_R{h}_{Ri}^2{beta}^2{sigma}_{tilde{n}}^2 ).

In the Poisson case, this means that the variance may not be exactly equal to the mean.

In the binary case, the variance may not be exactly equal to the variance of Bernoulli distribution for a given set of covariate values.

In general, the variance of PO distribution is exactly same as its mean, whereas the variance of the negative binomial (NB) distribution is always greater than its mean.

The reason why the variance of θ ̂ is not exactly the same as the CRLB is that the noise included in Equation (10) cannot be termed as sparse as the transmit signal in the same sparsity matrix.

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