To replicate, or not to replicate - that should not be a question

被引：14
|
作者：
Chalcraft, David R. [1 ]
机构：
[1] East Carolina Univ, Dept Biol, Greenville, NC 27858 USA
来源：
ECOLOGY LETTERS | 2019年 / 22卷 / 07期
关键词：
Ecological models; experimental design; general linear model; polynomial contrasts; prediction success; replication; statistics; trend analysis;
D O I：
10.1111/ele.13286
中图分类号：
Q14 [生态学（生物生态学）];
学科分类号：
071012 ; 0713 ;
摘要：
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.
引用
收藏
页码：1174 / 1175
页数：2
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