Sentence examples for modern statistical methods from inspiring English sources

His hypothesis of stellar motion is one of the most important results to come out of his fundamental work in modern statistical methods in astronomy.

Philip D. Curtin, a wide-ranging and influential historian whose pioneering use of modern statistical methods to determine the extent of the Atlantic slave trade suggested that far fewer slaves were transported from Africa than had previously been thought, died June 4 in West Chester, Pa.

This study investigates these patterns and associations in older adults by taking advantage of modern statistical methods for dealing with non-normality, outliers and curvature.

The analysis, formulated by U.N. and University of Washington (UW), Seattle, researchers, is the first of its kind to use modern statistical methods rather than expert opinions to estimate future birth rates, one of the determining factors in population forecasts.

Although common in other areas of biomedical research, modern statistical methods using repeated measurements on the same subject and accounting for their potential correlations are not widely utilized in immunologic studies.

The recommendations for enhanced data collection and the use of modern statistical methods for causal inference have the potential to enhance our understanding of the relationship of fatigue to highway safety and to long-term driver health.

Rather, we used a modern statistical method, the Storer-Kim method for two independent binomials to test whether there is a significant difference between the two binomial parameters, p1 and p2 [18].

Therefore, there is a trend toward using Rasch analysis, a modern statistical method that can transform the ordinal scores of polytomous items into interval scores for the purpose of psychometric evaluation [ 16].

In contrast, we used high-precision measurements of tens of thousands cells in combination with modern statistical inference methods, which allowed us to assess quantitatively the adequacy of different models.

This typically includes; modern statistical computing, frequentist methods, nonparametrics, likelihood and Bayesian approaches, mathematical statistics, design of experiments, linear models, survival analysis, longitudinal analysis, latent variable models, nonlinear models, categorical data analysis and clinical trials.

Catch-at-age (or catch-at-length) data are one of the major components of most modern statistical stock assessment methods.