Tag Archives: Statistical power

Virtual ecologist module #2: occupancy model design trade-offs

The Virtual Ecologist method is a form of stochastic simulation where the process of collecting, analyzing, and interpreting data are simulated. This post is the second module of the Virtual Ecologist blog series. The first module was an introduction to using … Continue reading

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Emerging methods for multi-model inference in ecology: inference based on parameter inclusion probabilities

A procedure for model selection has been recently showing up in the ecological literature that seems to have followed the increasing use of Bayesian hierarchical models. I was first introduced to the procedure by the book, “Hierarchical modeling and inference … Continue reading

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Virtual ecologist approach: using simulations to evaluating experimental designs

This blog is the first in a series of modules that I will present on using simulations to evaluate experimental designs. The series will mostly consist of fairly simple simulations that I have built over the last decade to answer … Continue reading

Posted in Ecological statistics, Ecology, Experimental design | Tagged , , , , , , | 2 Comments

Using movement information to approximate population closure for mark-recapture sampling designs:

Abundance of animals in an area (i.e. density) is one of the most basic population parameters desired in applied ecology. Many methods have been developed to estimate abundance within an area such as mark-recapture; however, it is often unclear the … Continue reading

Posted in fisheries management, population modeling, Uncategorized | Tagged , , , , , , , , , , | 3 Comments

Approximating 80% statistical power with management triggers

Recently I have been involved with the evaluation of two monitoring program designs where the objective of the program is to detect when a metric has crossed a specific threshold that is used to trigger management.  For these programs the … Continue reading

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