Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...

Cost and schedule variance data are part of earned value analysis, which is a tool that small and large businesses use as an early-warning system to identify and manage problems in ongoing projects.

When a project is running exactly as predicted, there is no time variance to worry about. When events are happening ahead of schedule or behind schedule, you have a variance, which could pose ...

Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.

The data scientist’s goal is to simultaneously reduce bias and variance as much as possible in order to obtain as accurate model as is feasible. However, there is a tradeoff to be made when selecting ...

System-wide measurements of gene expression by DNA microarray and, more recently, RNA-sequencing strategies have become de facto tools of modern biology and have led to deep understanding of ...

Interpreting 'omics data often involves statistical analysis of large numbers of loci such as genes, binding sites or single-nucleotide polymorphisms (SNPs). Although the data set as a whole may be ...