Sentence examples for estimates is often from inspiring English sources

It is important to consider accuracy and precision of abundance estimates during the sample design process with study goals and objectives fully recognized, although and with consequence, consideration of accuracy and precision of abundance estimates is often an afterthought that occurs during the data analysis process.

P is estimated not from the original stimulus, but from the coefficients that define each stimulus within the space defined by the principal components in V, thus reducing the dimensionality of P from m to m* (note that for natural stimuli, which typically contain strong correlations, the value of m* that results in the best RF estimates is often much less than m).

Even with large sample sizes, the standard error of heritability estimates is often disappointingly large and it varies greatly between experimental designs.

The range could represent an exhaustive range of all observations, or some unspecified quantile (i.e. 95% CI, inner 75%, etc).. Furthermore, the strength of the evidence behind these estimates is often unclear.

This assumption, encouraged by the indiscriminate calculation of risk ratios using arbitrary point estimates, is often incorrect: the fact that environmental and health risks differ in unknown quantitative respects is at least as important a caution to CRA as the fact that risks differ in known qualitative ways.

Simple methods of analysis for the PER data, for example standard linear regression, are not applicable to this study because the observations are not independent due to the repeated-measures design, and because the assumption of normality in portion estimates is often problematic.

Rainfall estimates are often wrong.

State officials said some customers end up owing the firms more than they get in refunds, because the interest and fees are so high and because the refund estimates are often inaccurate.

The problem: Those estimates are often wrong.

Such estimates are often error prone [7].

Highly correlated parameter estimates are often encountered in experimental investigations, making interpretation difficult.