Rate Estimation for a Simple Movement Mo
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Emily Silverman; Mark Kot
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Article
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2000
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Springer
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English
โ 298 KB
This paper introduces a simple stochastic model for waterfowl movement. After outlining the properties of the model, we focus on parameter estimation. We compare three standard least squares estimation procedures with maximum likelihood (ML) estimates using Monte Carlo simulations. For our model, li