Sentence examples for in statistical procedures from inspiring English sources

Blocking areas with large portions of a diagnostic soil maintained the homogeneity of experimental plots and produced acceptable error terms in statistical procedures.

The major obstacle in the quality assessment was the diversity in statistical procedures used to analyze the DEGs (normalization and analysis methods).

The first assumption regarding the asymptotic distribution of parameter estimates is widely made in statistical procedures; in fact, one study (Dominici et al. 2000) reports that the asymptotic properties of the MLE are well approximated in the first-stage analyses.

Multi-sample segmentation with high penalty on breakpoints may also be used to obtain low-dimensional descriptions of the data, which may form the basis for defining variables to be used in statistical procedures relating aberration patterns to clinical outcome.

These results suggest that in addition to the mean admixture, other easily measured quantities such as the variance and higher moments of the admixture fraction are likely to be informative, together with the mean, in statistical procedures for estimating the parameters of the historical admixture model that gives rise to a hybrid population.

SAS® provides a built-in statistical procedure (LIFEREG) for a maximum likelihood estimate of the parameters α and γ for right-censored data, which is the relevant case for this analysis since the people of the data set who are still alive effectively constitute right censored data points.

In statistical procedure Mean and Standard deviation, Pearson correlation and t Test were obtained.

In this research, the mean texture is used and extracted using Grey-Level Co-occurrence Matrix (GLCM), which is commonly applied in statistical procedure for interpreting texture.

- Residuals of a linear regression of target variables on age were calculated [ 61] for use in further statistical procedures in order to adjust the results for age effects.

On the other hand, it has been recognized in many statistical procedures that individuals vary in their vulnerability to causes of death or disease, response to treatment, and impact of various risk factors.

The previous analysis also differed from ours in the statistical procedures used to compute the summary statistic.