Sentence examples for estimate can be very from inspiring English sources

An important result from our empirical analysis is that the corrected confidence intervals around the HIV prevalence point estimate can be very wide.

However, current widely used traditional survey techniques such as destructive harvests, pin frame quadrats and visual cover estimates can be very time consuming and are prone to subjective variations.

These estimates can be very useful in predicting the overall impacts of policy approaches designed to reduce fuel consumption and to address concerns of carbon emissions or energy security.

In principle, the BS can also estimate and utilize the channels from users in neighboring cells, but the channel estimates can be very unreliable due to pilot contamination.

If the covariate distributions differ substantially between treated and control groups, OLS point estimates can be very sensitive to minor changes in the specification of the model because of their heavy reliance on extrapolation.

Importance estimates can be very useful to interpret the relevance of variables for the data set under study.

When wind speeds data exists but not with the length of record required to provide accurate parameter estimates, the error of the estimated return level can be very large and inefficient for design purposes.

Healthcare providers may also need more than one approach to emergency weight estimation: while parental estimates of weight can be very accurate, parents may not be present at the time that emergency care is required (especially in the prehospital environment) [9].

The present paper clearly illustrates that the results of these applications of estimated variance components can be very uncertain, in particular if the estimates have been based on short and continuous exposure samples.

This can be done since the models estimate an asymptote for the relative survival function, but estimates of cure can be very sensitive to the parametric distribution chosen.

An additional problem is that the accuracy of the estimated object trajectories can be very poor due to the high dimensionality of the tracking problem.