Sentence examples for sample based estimate from inspiring English sources

Even if an interaction is absent from F x) the sample based estimate of H will not necessarily be zero as sampling fluctuations may introduce spurious interactions in F ^ (x ).

To further illustrate and evaluate the method proposed in this paper I present geometric mean and various percentile estimates along with their 95% CIs for two chemical compounds from NHANES 2005 2006 pooled samples and compare them to individual-sample based estimates from NHANES 1999 2004.

In addition to the results related to precision for sampling based estimates, their results showed that ALS data provided the best plot level models for AGB (R2 = 0.64) followed by high resolution satellite images from RapidEye (R2 = 0.53).

We also show how remote sensing data can be used for post-stratification to derive the sample plot based estimates, which cannot be directly estimated from the spectral data.

Because the sample was based on those who self-selected for participation rather than a sample based on probabilities, estimates of sampling error cannot be calculated.

The actual time of sample collection was corrected per sample based on the estimated age of the sample.

We selected differentially expressed genes between MFS and unaffected samples based on estimated False Discovery Rate (FDR)[ 25].

We calculated the number of persons to be sampled based on an estimated seroprevalence of 50% for Kajiado and Marsabit and 5% for Kiambu, with an error margin of 5% and 2%, respectively, at the 95% confidence level.

First, missing genotypes are sampled based on allele frequencies estimated from reference haplotypes, and then an Expectation-Maximization (EM) algorithm is used to estimate parameter values.

Equivalence tests presented here are paired-sample tests [24, 25] because each sample is based on estimates from each of the Chojnacky and Jenkins groups.

Because SeqEM uses sample-based maximum likelihood estimates of the parameters rather than true parameter values in its Bayes classifier, a misspecified model for the sample genotype frequencies means that these parameters may not be consistently estimated.