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Titlebook: Resource Selection by Animals; Statistical design a Bryan F. J. Manly,Lyman L. McDonald,Dana L. Thomas Book 1993 Bryan F.J. Manly, Lyman L.

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https://doi.org/10.1007/978-94-011-1558-2Conservation; Logistic Regression; animals
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Estimating a resource selection function from two samples of resource units using logistic regressibility function. In particular, under certain conditions the estimation can be carried out using logistic regression or discriminant function analysis. The purpose of the present chapter is therefore to discuss the application of these two methods, and relate them to the models that have been described in the previous chapter.
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Analysis of the amount of use, not. Three principal cases are recognized: (a) where the amount of use is a count (such as the number of animals present); (b) where the amount of use is measured (such as the biomass eaten); and (c) where the distribution of the amount of use is a mixture of zeros for unused units and a distribution of positive values for used units.
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A Deep Learning Approach for Sentiment Analysis Applied to Hotel’s Reviewsxert a great influence. This paper describes a research that presents a convolutional neural network approach to the Sentiment Analysis Applied to Hotel’s Reviews, and performs a comparison with models previously executed on the same corpus.
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