Sentence examples for effects on estimation from inspiring English sources

As well as comparing sampling methods, also examined are the effects on estimation efficiency both of changing the level of correlation between the target and auxiliary variable and of changing the sizes of the first- or second-phase samples.

The foregoing method assumes that the misclassification probabilities are known, and it is useful for conducting sensitivity analyses where one may specify a class of plausible values of the sensitivity and specificity to evaluate the misclassification effects on estimation of quantities such as odds ratios ψ jk or cell probabilities p ijk.

For a discussion of the impact of misspecification of the distribution of random effects on estimation of and inference about both the fixed effects and the random effects in multilevel logistic regression models see Austin [ 14].

Austin [ 14] used Monte Carlo simulation to assess the impact of misspecification of the distribution of random effects on estimation of and inference about both the fixed effects and the random effects in multilevel logistic regression models.

Software V8.21 was designed by the manufacturer to better address magnification effects on estimations of soft tissue lean mass.

As codon usage bias could have a stronger effect on estimation of ω than the transition/transversion rate bias, we estimated the effect of codon usage bias on LRTs [ 22].

Scattering effect on estimation quality of the system is examined in terms of minimum mean square error (MMSE) and bit error rate (BER).

The Fig. 13 shows permanent crops to cultivated area, HDI, and value added to GDP by agriculture have highlighted effect on estimation of land use policy index.

We will show that by exploiting the orthogonal structure of Alamouti coding, we can either achieve (a) The complexity reduction of blind algorithm for MISO OFDM system to that of SISO OFDM system of [20] with little effect on estimation performance, or (b) improve the estimation performance of our algorithm with full complexity of the MISO OFDM.

Identification and classification of the interval cases also have an effect on estimation of survival differences between different patient groups.

Multivariate Cox analysis was applied to adjust for covariate effects, and stratification analysis was used to reduce the confounding effect on estimation of Hazard Ratio (HR).