JSM 2004 - Toronto

Abstract #301251

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Activity Number: 377
Type: Contributed
Date/Time: Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #301251
Title: Bayesian Methods for Dealing with Response Uncertainty and Missing Observations in Longitudinal Habitat Preference Studies
Author(s): Penelope S. Pooler*+ and Eric P. Smith and David R. Smith
Companies: Virginia Polytechnic Institute and State University and Virginia Polytechnic Institute and State University and U.S.G.S Biological Resources Division
Address: Department of Statistics, Mail Code 0439, Blacksburg, VA, 24060,
Keywords: uncertainty ; Bayesian ; longitudinal ; habitat ; hierarchical
Abstract:

When sampling to determine species distribution and habitat preferences, many factors such as harsh weather conditions, poor visibility, and animal defense mechanisms contribute to response uncertainty. Additionally, when habitat preference studies involve a longitudinal component due to repeated measures, there is the added complication of missing observations over time. Both response uncertainty within a single sample period, and missing observations over time can lead to model bias if these factors are correlated with the response. We will discuss the model implications for ignoring such possible sources of model bias and outline methods for improving longitudinal habitat models using Bayesian methods.

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