Search Results - "Allcroft, David J"
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The temporal structure of feeding behavior
Published in American journal of physiology. Regulatory, integrative and comparative physiology (01-08-2011)“…Meals have long been considered relevant units of feeding behavior. Large data sets of feeding behavior of cattle, pigs, chickens, ducks, turkeys, dolphins,…”
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Clustering of Mycobacterium avium subsp. paratuberculosis in Rabbits and the Environment: How Hot Is a Hot Spot?
Published in Applied and Environmental Microbiology (01-10-2005)“…Clustering of pathogens in the environment leads to hot spots of diseases at local, regional, national, and international levels. Scotland contains regional…”
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Quantifying public preferences for agri-environmental policy in Scotland: A comparison of methods
Published in Ecological economics (01-06-2007)“…This paper compares two methods for determining policy priorities for reform of Scottish agricultural support. Multifunctional agriculture attempts to…”
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A latent Gaussian Markov random-field model for spatiotemporal rainfall disaggregation
Published in Applied statistics (01-01-2003)“…Rainfall data are often collected at coarser spatial scales than required for input into hydrology and agricultural models. We therefore describe a…”
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The health of wild red and sika deer in Scotland: An analysis of key endoparasites and recommendations for monitoring disease
Published in The veterinary journal (1997) (01-03-2006)“…Monitoring the health of wildlife populations is important for understanding and controlling the risk of infections to livestock, humans and/or other wildlife…”
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The importance of ‘memory’ in statistical models for animal feeding behaviour
Published in Behavioural processes (30-07-2004)“…We investigate models for animal feeding behaviour, with the aim of improving understanding of how animals organise their behaviour in the short term. We…”
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A simulation-based method for model evaluation
Published in Statistical modelling (01-04-2003)“…We wish to evaluate and compare models that are non-nested and fit to data using different fitting criteria. We first estimate parameters in all models by…”
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