In a recent study posted to the medRxiv* preprint server, researchers used a stochastic compartmental model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission to examine ...
Digesta flow models have been based on linear compartment theory that assumes exponential retention times, and on a generalized theory that incorporates nonexponential (Erlang) retention times (Matis, ...
Forecasting elections is a high-stakes problem. Politicians and voters alike are often desperate to know the outcome of a close race, but providing them with incomplete or inaccurate predictions can ...
This is a preview. Log in through your library . Abstract The stochastic compartmental model of Matis and Hartley is generalized to allow the transition rates governing the movement of particles ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results