Many businesses rely on statistical analysis to organize collected information and predict future trends based on that data. While organizations have lots of options on what to do with their big data, ...

Statistics is a useful tool for understanding the patterns in the world around us. But our intuition often lets us down when it comes to interpreting those patterns. In this series we look at some of ...

In recent years, large-scale RNA interference (RNAi) libraries that are designed to target complete genomes have been produced for multiple organisms. When arrayed in 96- or 384-well microplates, with ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

The rapid evolution of mass spectrometry (MS) has transformed biological research, yet the reliability of these insights depends entirely on the rigor of the applied proteomics statistics.

A statistical analysis of the distribution of returns can be used to determine many key characteristics of a stock's behavior. Volatility is not the only useful measure of risk that can be determined ...

How to use statistical tools for component tolerance analysis. A look at methods such as Monte Carlo and Gaussian distribution. Simulating a dc-dc converter in LTspice to model closed-loop voltage ...