Sentence examples for sample estimate with from inspiring English sources

As a practical matter a χ2≥4 with 1 degree of freedom produces a sample estimate with p<0.01 but p values are provided to assess borderline cases.

To this end, we developed a generally applicable method that compares the CIs of sample estimates with the true parameter of an infinite population.

Therefore, even under a misspecified model, it is important to compare the sample estimates with the "true" value.

Figure  1 presents a scatterplot of the observed and predicted EQ-5D weights of the validation sample estimated with OLS (the other models produced similar plots).

The contribution of the different beverage types to TFI estimated by both instruments was comparable for both adolescents and adults.> The mean TFI of the total sample estimated with the 7-day fluid record was significantly higher than TFI estimated by 24-h dietary recall [mean difference (bias) 382 mL/day; p < 0.0001] (Table  3).

I also evaluate the method presented, by simulating NHANES individual sample data from which artificial pools are created for use in a comparison of pooled-sample estimates with estimates based on individual samples.

If Ne does not vary too much over time and the primary interest is an overall estimate of effective size for the population, then it might be reasonable to simply combine the temporal and single-sample estimates with appropriate weights as discussed above.

Second, factual heterogeneity may be present; it is not clear if sample estimates obtained with, say, older data sets are generated by the same population of consumers as more recent data series.

To be more specific, in the first term of (14) is an (one-sample) unbiased estimate of with the observed signal strength of the detection at scan, and in the second term is also an one-sample estimate of with the unobserved but estimated signal strength of the missed detection at scan.

Finally, the sample estimates were compared with estimates obtained from other sources where possible.

The model combine a suitable prior distribution with sample estimates of probability-weighted-moments, which exhibit much smaller sampling uncertainty than estimates of ordinary moments.