1-018-S-LogisticPopGrowth

By Brian Winkel

SIMIODE, Cornwall NY USA

Download (PDF)

Licensed according to this deed.

Published on

Abstract

We offer artificial (toy) and historical data on limited growth population situations in the study of protozoa and lead students through several approaches to estimating parameters and determining the validity of the logistic  model in these situations. 

Cite this work

Researchers should cite this work as follows:

  • Brian Winkel (2015), "1-018-S-LogisticPopGrowth," https://www.simiode.org/resources/731.

    BibTex | EndNote

Tags

Footer - a work in progress.