The term "threshold" appears as a key word in more and more papers. However, there are misunderstandings of the few statistical methods for quantifying a threshold. Often, people seek for a one-size-for-all type of models with an option of producing the magic p-value. With several papers documenting statistical models for detecting and quantifying environmental and ecological thresholds, the questions is how to select the right model.
A statistical model for detecting a threshold comes with assumptions, just like a simple linear regression model. These assumptions may or may not fit the data in question and residual plots are always the best vehicle for evaluating these assumptions.
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Log or not log
LOGorNOTLOG.html Log or not log, that is the question May 19, 2018 In 2014 I taught a special topics class on statistical i...
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Statistics is More Than \( P \)-values and AIC Statistics is More Than \( P \)-values and AIC Introduction The cont...
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even if you believe that she is not worthy of your talent. Recently, I served as the advisor of a graduate student at Duke University. It...
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The second edition of EESwithR is coming in fall 2016. I added one new chapter to the book and it is posted as an example chapter on githu...