| Literature DB >> 31144411 |
Abstract
Recent simulations suggest that ecologists can enhance the predictive ability of models by designing experiments that maximise the number of levels of an experimental factor by sacrificing replication. Here, I describe how these simulations were based on a faulty metric of prediction success and reinforce the importance of replication.Keywords: Ecological models; experimental design; general linear model; polynomial contrasts; prediction success; replication; statistics; trend analysis
Mesh：
Year: 2019 PMID： 31144411 DOI： 10.1111/ele.13286
Source DB: PubMed Journal: Ecol Lett ISSN： 1461-023X Impact factor: 9.492