Sentence examples for appropriate variances from inspiring English sources

Exact(5)

In order to evaluate the average behavior of our transmission strategies for different realizations of the channel coefficients, we will model the entries of Ht,h11,H12 ,h21 and H22 as samples from independent circularly symmetric Gaussian processes with zero mean with appropriate variances.

Odds ratios, risk ratios, or rate ratios and appropriate variances were computed and combined in the analysis leading to an overall relative risk.

Therefore, having confirmation of homogeneity of the appropriate variances by Leven's test, the analysis was continued with parametric tests based on robust ANOVA [ 50].

A modified multiple-imputation approach was used to obtain unbiased estimates, appropriate variances, and valid tests, based on a chained-equations algorithm (21) implemented in STATA SE 9.2 (22).

To evaluate which of the ratios R1 and R2 was most appropriate, we assessed which one explained a greater proportion of the variation when regressing the numerators on the denominators of the respective ratios, weighted by the inverse of the appropriate variances given above.

Similar(55)

In such settings, appropriate variance adjustments must be made in order to estimate the sufficient sample size correctly.

Mixed models are also useful to account for the autocorrelation of residuals over time and hints are given for the selection of an appropriate variance-covariance structure.

Herein, there is no need to choose an appropriate variance manually.

The excitation noise is generated with the appropriate variance so that the channel vectors are WSS.

Whilst the appropriate variance function may be identified from the modified Park test, one obtains different regression coefficients and inferences on incremental/marginal effects as the link function selected varies.

By modelling the residual variance per cluster through an appropriate variance structure (i.e., the varIdent structure) we were able to account for this variability in the data, which resulted in a model with smaller standard errors for the parameter estimates as compared to the other tested models (Table 1).

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