Statistical challenges in null model analysis

Oikos3.40
Volume: 121, Issue: 2, Pages: 171 - 180
Published: Feb 1, 2012
Abstract
This review identifies several important challenges in null model testing in ecology: 1) developing randomization algorithms that generate appropriate patterns for a specified null hypothesis; these randomization algorithms stake out a middle ground between formal Pearson–Neyman tests (which require a fully-specified null distribution) and specific process-based models (which require parameter values that cannot be easily and independently...
Paper Details
Title
Statistical challenges in null model analysis
Published Date
Feb 1, 2012
Journal
Volume
121
Issue
2
Pages
171 - 180
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