Sentence examples for severe estimation from inspiring English sources

Our data has a substantial portion of firms that have zero exports, so linear models would lead to biased and negative fitted values, and cause severe estimation bias (Wooldridge, 2002).

Our study was based on a large community-based sample, while previous studies primarily studied children with specific characteristics or in places with unique features (epicenter, etc)., which might result in a more severe estimation of PTSD symptoms.

This could be due to severe channel estimation error or maliciousness.

Finally, Monte Carlo simulation is used for the first time to point out some relevant effects that occur during processing and that can lead to severe dose estimation errors.

The proposed scheme performs much better than the traditional schemes when there are malicious/selfish nodes or severe channel estimation errors.

Whenever the value does not agree with the node's real behavior, which may result from maliciousness or severe channel estimation errors, Algorithm 1 can detect the suspicious node.

Adequate fit statistics were considered to be CFI ≥0.95, RMSEA ≤0.08 and SRMR ≤0.06, bolded fit indices indicate less than satisfactory fit, * severe model estimation difficulties.

Numbers indicate change in CFI, SRMR from less restrictive model, bolded items indicate invariance not achieved, L factor loadings constrained to be equal, I intercepts constrained to be equal, * severe model estimation difficulties.

Fit of the seven items to each subscale (data not shown) and reduced item factors for the smaller sample (BiB1000) was broadly similar to the BiB cohort (Table  7), except for some severe model estimation problems on the reduced Severe Depression subscale (items 23 26).

This method is not applicable for estimating the instantaneous frequency of multi-component signals in low signal-to-noise ratio (SNR) environment, for the range of noise or other signal components at a certain moment may be greater than the range of a signal component that shall be estimated, and it may result in the severe deviation of estimation frequency from the real frequency.

(2005) that when the shape parameter is fixed at 3, the correlation between slope and curvature will not cause severe problems of estimation; in our case this correlation is very low: 7 %.