Sentence examples for by combining the sample from inspiring English sources

By combining the sample information (likelihood function) and the smoothness information (smooth prior distribution) in the Bayes' theorem, the influence of statistical fluctuations is effectively removed, and greatly improved estimation can be obtained by maximizing the posterior probability.

By combining the sample utterances of different lengths into a single "average" utterance, a simple phonetic decoder, e.g., the original form of the tree-trellis search algorithm with a looped phoneme grammar, can be used to obtain best phonetic strings per voice-tag with minimum memory and computational consumption.

By combining the sample information (likelihood function) and the smoothness information (smooth prior distribution) in the Bayes' theorem, the influence of statistical fluctuations is effectively removed, and greatly improved estimation, which is close to the true distribution, can be obtained by maximizing the posterior probability.

Samples were run under reducing conditions, prepared by combining the sample with 2.5 ul NuPage sample buffer (4×), 1ul NuPage reducing agent (10×), and then brought to a final volume of 10 ul.

By combining the sample tube transport delays and manufacturer specified delays, the delay for the CO and CO2 data was estimated to be approximately 3.5 seconds, and the delay for the NOx data was estimated to be about 12 seconds.

The joint analysis consisted of a total of 1,455 breast cancer cases and 1,536 controls obtained by combining the samples from the two stages of the study.

The graph can be parsed to find out that g2 and g4 satisfy the three conditions and a new dataset can be sampled by combining the samples in g2 and g4.

The final overall sample used was created by combining the samples for all minimum growth rate thresholds for the highest extracellular metabolite secretion rate (maximum 1 mmol/hr/gDW).

In this case the CE estimator can be written as b CE = X ^ * ' X ^ * − 1 X ^ * ' Y NV, where X ^ * = X NV X V X V V − 1 X V X V V *. is the estimated value of E[X*|X] obtained by combining the validation sample (v) and the non-validation sample (nv).

To efficiently select control groups and expand the range of birth outcomes, we first constructed a stratified 10% random sample of the entire population of live births by combining the 10% sample of all term live births ≥ 2500 g with a 10% random sample of the comprehensively identified preterm cases and term low birth weight cases (the case groups described above) (n = 4063).

The problem of having a small sample size is generally not resolved by combining the small sample with an inappropriate statistical analysis!