Sentence examples for many statistical methods from inspiring English sources

Among these three problems, model deviations and limited sample sizes are very common in many statistical methods, and are not unique to the statistics of the ALT.

This is prerequisite for many statistical methods, like for example linear model fitting and moderate t-statistics [ 21], that are utilised for analysing gene expression data.

Many statistical methods have been proposed to estimate causal models in classical situations with fewer variables than observations.

In this paper, I examine William Whewell's (1794 1866) 'Discoverer's Induction', and argue that it supplies a strikingly accurate characterization of the logic behind many statistical methods, exploratory data analysis (EDA) in particular.

Many statistical methods have been proposed to assess the treatment effects in microarray experiments.

Many statistical methods for microarray data analysis consider one gene at a time, and they may miss subtle changes at the single gene level.

Kernel methods involving genomic similarity measures are the basis of many statistical analytic methods such as nonparametric regression, mixed models, hierarchical regression models, score statistics, and support vector machines [ 9].

The high degree of correlation prevents many existing statistical methods from being used, because those normally assume that the sources are statistically independent [14, 15, 18].

There are already many statistical testing methods for RNA-seq differential expression analysis.

This precludes many traditional statistical methods of modeling epidemics.

In tests in such environments, sample sizes are often smaller than 100, violating typical assumptions of many standard statistical methods.