Optimized temporal sampling designs of the Weibull growth curve with extensions to the von Bertalanffy model
J. Swintek,
M. Etterson,
K. Flynn and
R. Johnson
Environmetrics, 2019, vol. 30, issue 6
Abstract:
We describe designs for the temporal aspect of sampling in an experiment that estimates the population mean growth of an organism that can be modeled using a Weibull or von Bertalanffy growth curve. First, the properties of the Weibull growth curve are explained. Next, using the shape parameter (v), the Weibull growth curve can be categorized into two shape categories: sigmoid and saturation. D‐optimization and shape classification are used to determine the optimal sampling occasions and the effect of a sampling schedule on the precision of the size estimates. Finally, the results are used to recommend a generalized sampling design to best determine the shape and size of a growth curve.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://doi.org/10.1002/env.2552
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:envmet:v:30:y:2019:i:6:n:e2552
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1180-4009
Access Statistics for this article
More articles in Environmetrics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().