(Q56985807)

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Comparison of three expert elicitation methods for logistic regression on predicting the presence of the threatened brush-tailed rock-wallaby Petrogale penicillata

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scholarly article

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Comparison of three expert elicitation methods for logistic regression on predicting the presence of the threatened brush-tailed rock-wallaby Petrogale penicillata (English)

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logistic regression model

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Brush-tailed rock-wallaby

object named as

Petrogale penicillata

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Samantha Low-Choy

object named as

Samantha Low Choy

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Kerrie Mengersen

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Kerrie Mengersen

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6

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Tara G. Martin

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author name string

Rebecca A. O'Leary

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Justine V. Murray

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Mary Kynn

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Robert Denham

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publication date

June 2009

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20

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4

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379-398

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Geographically assisted elicitation of expert opinion for regression models

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https://api.crossref.org/works/10.1002%2FENV.935

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Bayesian Analysis of Binary and Polychotomous Response Data

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Bayesian Computation and Stochastic Systems

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Predictive Assessment of Fish Health and Fish Kills in the Neuse River Estuary Using Elicited Expert Judgment

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Presence-absence versus presence-only modelling methods for predicting bird habitat suitability

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An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data

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Statistical Methods for Eliciting Probability Distributions

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New developments in museum-based informatics and applications in biodiversity analysis

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Predictive habitat distribution models in ecology

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Subjective probability: A judgment of representativeness

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Assessing the impacts of grazing levels on bird density in woodland habitat: a Bayesian approach using expert opinion

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Comparing discriminant analysis, neural networks and logistic regression for predicting species distributions: a case study with a Himalayan river bird

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Evaluating presence-absence models in ecology: the need to account for prevalence

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THE POWER OF EXPERT OPINION IN ECOLOGICAL MODELS USING BAYESIAN METHODS: IMPACT OF GRAZING ON BIRDS

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Biogeographical concordance and efficiency of taxon indicators for establishing conservation priority in a tropical rainforest biota.

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An evaluation of the predictive performance of distributional models for flora and fauna in north-east New South Wales

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New paradigms for modelling species distributions?

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The prognostic importance of comorbidity for mortality in patients with stable coronary artery disease

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Effects of restricting environmental range of data to project current and future species distributions

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Judgment under Uncertainty: Heuristics and Biases

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Eliciting and integrating expert knowledge for wildlife habitat modelling

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Identifiers

10.1002/ENV.935

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