Sentence examples for fit the sample from inspiring English sources

Once they decide what type of measurement best fits their customer (straight bodied, curvy, etc) they hire a fit model, who is usually a size four or six to fit the sample on.

The Sugar Plum Fairies who rolled down the runway at Alexander McQueen, swathed in layers of ruffled, patterned fur (for once I suspect I may fit the sample size) traversed an expanse of mysteriously steaming moss.

But, when I formed the Model Alliance in 2012, many of the young women alongside whom I had worked acknowledged to me that, as their adolescent bodies developed into adulthood, their agencies had demanded that they go to extremes to fit the sample size for the runway (a US size zero to two).

The idea behind the proposed approach is to extract the model holding for the sample data as a function of the model in the population and the first-order inclusion probabilities, and then fit the sample model using maximum-likelihood, pseudo-maximum-likelihood and estimating equations methods.

In the particular case under study, and for all the situations analysed, the BPM has provided values for the annual mean wind power density and annual energy output of a wind turbine that fit the sample data better than the UPMs.

Since weld strengths are skewed, a beta distribution, chi-square distribution and gamma distribution were used to analyse the results, and the mathematical function, which was found to fit the sample data best was selected and used to compute the design strength of the 21 weld strengths, using 0.01 probability of failure.

However, as the objective function F = X T W + 1b T is a linear format, if the samples is from a nonlinear manifold, this may be too strict to fit the samples.

The latter two approaches explicitly or implicitly fit the sampling model parameters to the observed distribution of gene frequencies in the analyzed set of genomes.

The number of sub-populations, k, and the number of samples selected at the end of the simulations, n, were set for each sub-population to fit the sampling (Table  4).

Classification uses supervised learning techniques (Tong et al. 2003b) to fit the samples into the predefined categories based on patterns of omics profiles or predictor variables (e.g., gene expressions in DNA microarray).

Practically every application of Diamond requires a different frequency, fitting the sample being studied.