Sentence examples for sampling and associated from inspiring English sources

The Monte Carlo and Bootstrap filter methods express the state variables using random data sampling and associated weights.

The sampling design, performance criteria of the sampling and associated optimal sample size were obtained by statistical analysis of soil data available before the sampling.

There are currently little data available on how often the rates of citrate and calcium infusion are changed, and consequently some concern amongst nursing staff regarding the frequency of blood sampling and associated workload.

Not long ago, sampling and associated logistics, clone library construction and Sanger sequencing of a couple of inserts were the time-consuming steps in metagenomics.

An extensive analysis of nested sampling for integration and inference for multivariate Gaussian distributions identifies suitable configurations of nested sampling and associated algorithms in an analytically tractable case.

However, as we gain more understanding of variation in the microbiota that inhabit different parts of the body, as well as the advantages of deep versus minimally invasive sampling, sampling techniques and associated risk-benefit assessments may change.

Samples and associated phenotype data for the genome-wide association of schizophrenia study were provided by the Molecular Genetics of Schizophrenia Collaboration (PI: P.V. Gejman, North Shore University Health System (NUH)) and University of Chicago (Evanston, Illinois, USA).

We thank Georgia Chenevix-Trench for access to DNA samples and associated data for the ovarian cancer and SNP association studies.

Efficient sampling techniques can be adopted for performing robust estimations with limited number of samples and associated with computational time.

This opens the potential for non-representative samples and associated estimates due to either honest mistakes or fraudulent activities.

The sequential imputation uses samples and associated weights to approximate the unknown distribution in the presence of missing data, and thus can be seen as a combination of Gibbs sampler and sequential importance sampling.