A nonlinear regression model is applied to several sets of enzyme kinetics data, treating the entire regression vector as the parameter of interest. The resulting marginal posterior distributions are ...

This cross-disciplinary paper develops random effects and variances methods, especially for small samples within effects, and applies them to mitochondrial enzyme kinetics. A new force flux kinetic ...

Modern measurement techniques allow researchers to gather ever more data in less time. In many cases, however, the primary or raw data have to be further analyzed, be it for the verification of a ...

A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...