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On the Estimation of Network Metrics in the Presence of Sampling Effects

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Title: On the Estimation of Network Metrics in the Presence of Sampling Effects
Author: Lin, Yu
Department: Department of Mathematics and Statistics
Program: Mathematics and Statistics
Advisor: Ali, Ayesha
Abstract: Ecological analyses of plant-pollinator networks are typically based on calculating network metrics (e.g. nestedness) associated with the network constructed from a sample of observed interactions in a certain area over a given time period. However, the number and strength of links in the observed networks are subject to the sampling effort made in the field study. Aiming to estimate metrics of the full network, which contains all interactions made in the study area over the study period, this thesis evaluates several bootstrap methods to construct confidence intervals for the network metrics. Through a simulation study, artificial networks of varying size, nestedness and sampling effort are generated to evaluate the performance of the bootstrap interval methods.
URI: http://hdl.handle.net/10214/9119
Date: 2015-08
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