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

页码：1174 / 1175

页数：2

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