978 resultados para Estimadores de dispersão
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Ornithochorous fruits make up an important part of the diet of birds and many studies have related the different morphological types of fruits with the choice by birds. We analyzed the intrinsic characteristics of plants and how human impact can affect this choice. Through analyses of covariance we related the degree of human pressure in each study site (high or low) and the morphological characteristics of 57 ornithochorous species with visiting rates and consumption of fruits by birds. We did not find any intrinsic plant characteristic (life form, size and type of diaspore) that explains the rates of consumption and visit by birds. On the other hand, the degree of human impact affected directly the mutualism between plants and birds. Plant species located in areas that suffer high human pressure had number of visits and consumption rates 3,3 and 3,5 lower than plants located in pristine areas, respectively. The negative consequences of the reduction of consumption of fruits in areas with high human pressures may directly affects the interactions between birds and plants and the regeneration of the ornithochorous species.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Agronomia (Energia na Agricultura) - FCA
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Agronomia (Entomologia Agrícola) - FCAV
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Incluye Bibliografía
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Pós-graduação em Matemática Universitária - IGCE
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Pós-graduação em Geografia - IGCE
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The James-Stein estimator is a biased shrinkage estimator with uniformly smaller risk than the risk of the sample mean estimator for the mean of multivariate normal distribution, except in the one-dimensional or two-dimensional cases. In this work we have used more heuristic arguments and intensified the geometric treatment of the theory of James-Stein estimator. New type James-Stein shrinking estimators are proposed and the Mahalanobis metric used to address the James-Stein estimator. . To evaluate the performance of the estimator proposed, in relation to the sample mean estimator, we used the computer simulation by the Monte Carlo method by calculating the mean square error. The result indicates that the new estimator has better performance relative to the sample mean estimator.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)