A heteroskedastic error covariance matrix estimator using a first-order conditional autoregressive Markov simulation for deriving asympotical efficient estimates from ecological sampled <it>Anopheles arabiensis </it>aquatic habitat covariates
<p>Abstract</p> <p>Background</p> <p>Autoregressive regression coefficients for <it>Anopheles arabiensis </it>aquatic habitat models are usually assessed using global error techniques and are reported as error covariance matrices. A global statistic, however...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2009-09-01
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Series: | Malaria Journal |
Online Access: | http://www.malariajournal.com/content/8/1/216 |