A note on the asymptotic behavior of the heights in -trees for large.
Knessl, Charles, Szpankowski, Wojciech (2000)
The Electronic Journal of Combinatorics [electronic only]
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Knessl, Charles, Szpankowski, Wojciech (2000)
The Electronic Journal of Combinatorics [electronic only]
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Janson, Svante, Szpankowski, Wojiech (1997)
The Electronic Journal of Combinatorics [electronic only]
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Winter, Anita (2002)
Electronic Journal of Probability [electronic only]
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Martínez, Conrado, Panholzer, Alois, Prodinger, Helmut (1998)
The Electronic Journal of Combinatorics [electronic only]
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Diaconis, Persi, Holmes Susan (2002)
Electronic Journal of Probability [electronic only]
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Sophie Schbath (1997)
ESAIM: Probability and Statistics
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Frédéric Mortier, Olivier Flores, Sylvie Gourlet-Fleury (2007)
Journal de la société française de statistique
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Understanding the spatial and temporal dynamics of rain forests is a challenge for assessing the impact of disturbance on forest stands and tree populations. Still few studies address the modelling of spatial patterns of tree density. Here, we present Hierarchical bayesian (HB) models for the local density of juveniles trees in a tropical forest. These models are specifically designed to handle zero inflation and spatial autocorrelation in the data. Height types of models were built...
Atar, Rami, Athreya, Siva, Kang, Min (2001)
Electronic Communications in Probability [electronic only]
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Brouwer, Rachel M., Pennanen, Juho (2006)
Electronic Journal of Probability [electronic only]
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Camarri, Michael, Pitman, Jim (2000)
Electronic Journal of Probability [electronic only]
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Cameron, Peter J., Johannsen, Daniel, Prellberg, Thomas, Schweitzer, Pascal (2008)
The Electronic Journal of Combinatorics [electronic only]
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Ian Hepburn Dinwoodie (2005)
ESAIM: Probability and Statistics
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An iterative method based on a fixed-point property is proposed for finding maximum likelihood estimators for parameters in a model of network reliability with spatial dependence. The method is shown to converge at a geometric rate under natural conditions on data.