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Space-time modeling for the Missouri Turkey Hunting Survey
Authors:Oleson  Jacob J  He  Chong Z
Institution:(1) Department of Mathematics and Statistics, Arizona State University, Tempe, Arizona 85287-1804, USA;(2) Department of Statistics, University of Missouri, 146 Middlebush, Columbia, Missouri 65211-4100, USA
Abstract:The Missouri Turkey Hunting Survey (MTHS) is a postseason mail survey conducted by the Missouri Department of Conservation. The 1996 MTHS provides information concerning the number of turkeys harvested by hunters on each day and the total number of trips made to the counties by these hunters on each day of the hunting season. The success rates are then found from this information. Small sample sizes produce large standard errors for the estimates at the county level. We use a Bayesian hierarchical generalized linear model to estimate daily hunting success rates at the county level. The model includes an autoregressive process for the days of the hunting season and spatially correlated random geographic effects. The computations are performed using Gibbs sampling and adaptive rejection sampling techniques. Results show that there are significant spatial corelations between counties and correlations between days of the hunting season. The estimates are close to the frequency estimates at the state level and much more stable at the county level.
Keywords:autoregressive process  hierarchical bayes  linear mixed model  Markov chain Monte Carlo  spatial correlation  survey sampling
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